Each&Other, one of Ireland’s leading independent digital consultancies, is creating 10 new jobs in the UK and Dublin as it continues to scale the company. The company is investing €500k in its team to support the expansion and enhance its fractional UX and service design capabilities.
UK industry veteran, Ben Logan has been appointed as UK Strategy & Growth Lead. Ben was founder and former MD of Spotless, a London-based UX Research and Service Design agency and brings over 20 years of leadership experience to Each&Other.
The new jobs, due to be created by the end of 2026, will be in the areas of UX designers, graphic designers and content strategists serving International clients and will bring the total number of employees at Each&Other to 35.
Each&Other delivers award-winning digital experiences using a customer-centred approach to product development. The company helps clients to grow their business, increase customer satisfaction and ship great products. Creativity, people and partnerships are intrinsic to the company. With their combined strengths and diverse expertise, Each&Other is committed to making a difference to each client’s unique requirements.
“2025 represents a huge milestone in Each&Other’s history,” explains Brian Herron, Director at Each&Other. “We have grown rapidly since our founding, and we continue to scale the company at a fast pace. Each&Other is a dynamic, ambitious and innovation-led company at the cutting edge of its industry. We are delighted to welcome Ben to help us grow in the UK, enter new markets and continue to deliver world-class strategy, research and design for our clients. This is an exciting time for the company and it’s a great opportunity for talented people to join our growing team.”
Each&Other is an Irish strategic UX design firm delivering digital customer experiences that help organisations grow and deliver great digital products to their customers. Creativity, people and partnerships are intrinsic to Each&Other. With their combined strengths and diverse expertise, the company is committed to making a difference to each client’s unique requirements.
Established in 2014, Each&Other is based in Dublin, employs 25 people and delivers research and digital design projects throughout EU, Middle East and USA.
In the fast-paced world of online retail, fraud remains a persistent and growing concern for e-commerce businesses. From stolen credit cards to account takeovers and refund fraud, the threats are evolving rapidly. To protect their businesses and customers, online retailers must invest in robust fraud prevention tools. However, with so many options available, choosing the right ecommerce fraud prevention software can be a daunting task. This article provides a step-by-step guide to help you select the best tools tailored to your e-commerce business while ensuring comprehensive protection.
Understand the Types of E-commerce Fraud
Before diving into the selection process, it’s crucial to understand the most common types of e-commerce fraud. This will help you identify the specific threats your business might face and choose tools that address those vulnerabilities. Common fraud types include:
Payment fraud: Stolen card details used for unauthorized purchases.
Account takeover: Hackers gain access to customer accounts to make fraudulent purchases.
Chargeback fraud: Customers make false claims to receive refunds for legitimate purchases.
Refund fraud: Fraudsters exploit refund policies to steal money.
By understanding these threats, you can narrow your search to tools that specialize in mitigating the risks associated with each type of fraud.
Identify Your Business Needs
No two e-commerce businesses are exactly alike. A small online store will have different fraud prevention requirements compared to a global retailer. Start by assessing your business size, transaction volume, and the level of risk you face. Key questions to consider include:
How many transactions do you process daily or monthly?
Do you sell internationally, and if so, how diverse is your customer base?
Understanding your business needs ensures that you invest in tools that align with your operations and budget.
Look for Real-Time Fraud Detection
One of the most important features in any fraud prevention tool is the ability to detect and prevent fraudulent transactions in real-time. Tools that use artificial intelligence (AI) and machine learning are particularly effective, as they can analyze data patterns and behaviors to identify suspicious activity instantly. Real-time fraud detection helps you stop fraud before it happens, reducing financial losses and protecting your customers.
Evaluate User Authentication Features
Strong user authentication is critical in preventing account takeovers and unauthorized transactions. Look for tools that offer multi-factor authentication (MFA), biometric authentication, and behavioral analysis. These features ensure that only legitimate users can access accounts and complete transactions, adding an extra layer of security.
Ensure Scalability and Flexibility
As your e-commerce business grows, so will the complexity of fraud risks. Choose fraud prevention tools that are scalable and can adapt to your business’s evolving needs. For instance, tools that support cross-border transactions, multiple payment methods, and diverse fraud scenarios are ideal for businesses expanding into new markets.Flexibility is also important. Some fraud prevention tools allow customization, enabling you to set specific rules and thresholds based on your business model. This ensures that the tool is not only effective but also aligned with your unique requirements.
Prioritize Ease of Integration
When selecting fraud prevention tools, consider how easily they can integrate with your existing e-commerce platform, payment gateways, and customer relationship management (CRM) systems. Seamless integration minimizes disruptions to your operations and ensures that the tools work harmoniously with your current technology stack. Many fraud prevention solutions offer pre-built integrations for popular platforms like Shopify, Magento, and WooCommerce.
Analyze Reporting and Analytics Capabilities
Fraud prevention is not just about stopping fraud—it’s also about learning from it. Tools with robust reporting and analytics capabilities allow you to monitor fraud trends, assess the effectiveness of your strategies, and make data-driven decisions. Look for tools that provide detailed dashboards and reports, giving you a clear picture of your fraud landscape.
Compare Costs and ROI
While fraud prevention tools are an investment, it’s essential to evaluate their costs in relation to the potential losses they can help you avoid. Many providers offer tiered pricing based on transaction volume or features, so you can find a solution that fits your budget. Remember, the right fraud prevention tool will not only save you money but also protect your reputation and customer trust.
Check for Customer Support and Reliability
Fraud prevention is a 24/7 concern, so you need tools that come with reliable customer support. In the event of an issue or suspected fraud attack, quick assistance can make all the difference. Look for providers that offer round-the-clock support through multiple channels, such as live chat, email, and phone.
Research Reviews and Case Studies
Before finalizing your decision, research customer reviews and case studies to understand how the fraud prevention tool has performed for other businesses. Pay attention to feedback from businesses similar to yours, as this can provide valuable insights into the tool’s effectiveness and ease of use.
Conclusion
Choosing the right fraud prevention tools for your e-commerce business is a critical step in safeguarding your operations, customers, and reputation. By understanding the types of fraud, identifying your business needs, and prioritizing features like real-time detection, scalability, and user authentication, you can find a solution that offers comprehensive protection.Investing in the right tools is not just about reducing losses—it’s about fostering trust and ensuring a secure shopping experience for your customers. When evaluating options, consider providers that specialize in ecommerce fraud solutions, as they are tailored to meet the unique challenges of online retail. With the right tools in place, you can focus on growing your business while staying one step ahead of fraudsters.
AVI-SPL, the leading global provider of technology solutions that transform how people and technology connect, today unveiled its new Customer Experience Centre in Tallaght, Dublin. This latest investment reflects AVI-SPL’s long-term commitment to Ireland, where over €6.2 million has been invested since entering the Irish market.
AVI-SPL is a modern workplace system integration company operating in over 70 offices globally and partnering with 86% of the Fortune 100 listed companies. It offers end-to-end design, deployment, and managed services of AV, UC and collaboration technology across all sectors including finance, professional services, technology and pharmaceutical. AVI-SPL were also behind the installation of the Dublin Portal livestream project in the city centre.
The company entered the Irish market in 2022 with the acquisition of Irish-based AV integrator, Sonics AVI and has since tripled its headcount here as it continues to grow. Within Ireland alone, AVI-SPL customers range from local enterprises to global blue-chips with presence in-county, such as LinkedIn and Workhuman.
At the launch, Thomas Stone, President of South Dublin Chamber of Commerce said: “I am thrilled a global technology leader like AVI-SPL is staying and continuing to invest in Tallaght. The opening of this world-class Customer Experience Centre today is a powerful endorsement of South Dublin as a dynamic hub for innovation and enterprise. By bringing cutting-edge solutions and expertise, this investment not only elevates our local economy but also creates new opportunities for collaboration and growth across the wider business landscape.”
Mike Kellaway, Managing Director, UK & Ireland, AVI-SPL said: “Our investment in Ireland reflects the huge potential we see here. The new experience centre allows our teams to deliver best global practices right here in Ireland, offering our clients a hands-on look at the next generation of workplace technology – enabling our clients to reduce complexity and boost collaboration ROI.”
“Our growth projections reflect the rapidly increasing demand for top-tier office space and reduction in commercial premises vacancies in Ireland. Through our experience with the biggest brands globally, we can accelerate businesses to the next phase of their growth journeys.”
Colin Barrett, General Manager, AVI-SPL Ireland said: “The opening of our Customer Experience Centre is a milestone event for us in Ireland. Through the centre, we will showcase leading-edge enterprises the workplace technologies as they would be implemented in onsite corporate environments, from boardrooms to multi-purpose collaboration spaces. This is an exciting period for our business with huge growth opportunities, as organisations everywhere navigate the complex nature of hybrid work.”
To celebrate this milestone, AVI-SPL is hosting two events on 1st May 2025: a grand opening of the Customer Experience Centre in Tallaght and an industry forum event in Dublin City Centre, focused on future-ready workplace strategy with Irish rugby legend, Brian O’Driscoll, Anne Sheehan, Microsoft’s EMEA Enterprise Lead, entrepreneur and founder of Ergo, John Purdy, Robin van Meeuwen, Creston EMEA Director and John Murphy, AVI-SPL Global Chief Operations Officer.
More than eight in ten (81%) financial services organisations using Artificial Intelligence (AI) have adopted the technology for customer service purposes, while three in ten (29%) use the technology to prevent and detect fraud, with a similar number (29%) applying it to risk assessment.
However, despite its growing use, key concerns remain, particularly around accountability and the potential for bias in AI-driven or AI-influenced decisions. Data privacy risks associated with AI also rank high among the sector’s concerns.
This is according to the results of a new survey by Ireland’s professional body for compliance professionals, the Compliance Institute, which polled approximately 150 compliance experts working primarily in Irish financial services organisations nationwide.
When asked what concerns, if any, they had regarding the use of AI in compliance and financial services:
More than eight in ten (81%) compliance experts said that are concerned about the accountability and explainability of AI-driven decisions
Seven in ten (69%) are concerned about the potential for bias in AI decision-making
Six in ten (59%) are worried about data privacy and GDPR compliance risks
Almost six in ten (56%) are concerned about a lack of regulatory clarity around AI.
Commenting on the survey findings, Michael Kavanagh, CEO of the Compliance Institute said:
“Given that chatbots and virtual assistants are such a common sight when surfing the internet today, it’s perhaps no surprise that our survey shows that of those organisations using AI, customer service is the main reason they do so. However, it is interesting too the level of disquiet around the use of AI in organisations, particularly around AI bias and the accountability of AI-driven decisions, perhaps suggesting an inherent distrust of AI. Ultimately, AI will never be able to replicate the empathy that humans can bring to decision-making – as well as the nuanced approach they can take.
While AI can have many benefits for the financial services sector, including its ability to detect fraud and to reduce customer service costs, its fast-growing capabilities and increasingly widespread use have raised concerns, particularly around privacy and misinformation issues and the lack of regularity clarity around AI.”
Other headline findings from the Compliance Institute research reveal that:
AI-driven tools are not yet widely adopted in the financial services sector, with only 2% of organisations using them extensively and 18% using them on a limited basis.
More than half of the firms (54%) are considering AI for compliance monitoring, fraud detection, or risk management.
More than one in four (27%) have no plans to implement AI tools in the near future.
Among organisations currently using AI, its use in personalised financial products (10%) or trading and investment strategies (3%) is less commonplace.
Mr Kavanagh added:
“With only one in five organisations using AI tools, and most of these only doing so on a limited basis, the financial services sector is clearly cautious about the use of AI in firms. The finding that more than half (54%) of the firms surveyed are considering AI for compliance monitoring, fraud detection, or risk management shows that many in the financial services sector have not ruled out AI – but they are being careful about if and how they might do so. This suggests that there is a strong awareness in the sector of the risks of AI and a determination to ensure the technology is used responsibly.
This is a positive reflection of the sector. While AI has the potential to deliver many benefits, it is important that AI is used in a safe and transparent way, and that the use and adoption of the technology is overseen so that harmful outcomes are prevented.”
Modern leaders can no longer rely on instinct alone. Making informed decisions requires analyzing trends, understanding patterns, and predicting future outcomes. Companies that use analytical strategies gain a competitive edge, reduce risks, and improve overall efficiency. Leaders who adapt to this shift drive success.
As industries become more data-driven, professionals must develop new skills to keep up. Leaders who invest in learning how to interpret and apply insights position themselves for higher roles. This article explores how analytics is shaping leadership and why developing these skills is essential.
1.Enabling Smarter Decision-Making
Effective leadership depends on making well-informed choices. By using real-time insights, leaders can evaluate performance, predict challenges, and refine strategies. Making decisions based on accurate information leads to better outcomes and long-term success. Companies that rely on analytical tools reduce uncertainty and improve efficiency. Whether it’s financial forecasting, customer behavior analysis, or market trend predictions, leaders who use information wisely can adapt to changes faster than competitors.
2. Building Expertise in Business Intelligence
Developing expertise in analyzing trends and making informed decisions is crucial for professionals aiming for leadership positions. Understanding how to assess key performance indicators and market insights helps improve overall strategy. Many professionals enroll in an online MBA in data analytics to build these skills while managing their current job responsibilities. Programs like these provide advanced training in predictive modeling, business intelligence, and performance analysis, preparing professionals for leadership roles in today’s evolving industries.
3. Enhancing Operational Efficiency
Analyzing workflows and identifying inefficiencies allows companies to reduce waste and improve productivity. Leaders who use data-driven approaches can streamline operations and ensure resources are allocated efficiently. By tracking key performance metrics, businesses can optimize processes, reduce unnecessary costs, and increase overall effectiveness. Leaders who integrate technology and automation into daily operations see faster and more consistent improvements.
4. Driving Innovation and Business Growth
Companies that stay ahead of trends are more likely to expand and succeed. Leaders who understand consumer preferences, industry shifts, and emerging technologies can develop innovative products and services. By using research-backed insights, companies can tailor their strategies to meet market demands. Decision-makers who encourage innovation create opportunities for long-term growth and adaptability in competitive industries.
5. Strengthening Risk Management and Fraud Detection
Identifying risks before they become major problems helps businesses avoid financial losses and reputational damage. Analyzing past incidents and current trends allows leaders to implement preventive measures. Organizations can minimize security threats and financial risks with predictive models and fraud detection tools. Leaders who adopt these strategies enhance stability and ensure better protection for their company’s assets.
6. Personalizing Customer Experiences
Understanding customer behavior is essential for building long-term relationships. Companies that analyze consumer preferences can tailor marketing efforts, improve engagement, and increase brand loyalty. Leaders who use insights from customer interactions can create more personalized and effective strategies. By segmenting audiences and predicting trends, businesses can offer customized solutions that meet specific needs. This approach enhances customer satisfaction, drives repeat purchases, and strengthens brand reputation in a competitive market.
7. Building a Data-Driven Company Culture
A company that values analytical insights at all levels creates a more efficient and informed workforce. Encouraging employees to use available information for decision-making leads to improved teamwork and accountability. Leaders who promote a culture of learning and data-driven decision-making ensure that employees understand the importance of measuring performance and adapting strategies based on insights. This shift results in a more agile and responsive organization.
8. Improving Talent Management and Workforce Planning
Hiring and retaining skilled employees is a priority for any company. Analyzing workforce trends helps leaders understand employee engagement, predict staffing needs, and improve retention rates. Companies that use data to assess team performance can make better hiring and training decisions. Leaders who integrate HR analytics into their management strategies can optimize recruitment, identify skill gaps, and enhance professional development programs. This approach leads to a stronger and more motivated workforce.
9. Boosting Competitive Advantage
Companies that effectively use analytics outperform those that rely on traditional decision-making methods. By studying market trends, competitor strategies, and consumer demands, leaders can position their organizations ahead of the competition. Data-driven companies are better equipped to identify new opportunities, respond to industry shifts, and refine their business models. Leaders who embrace these strategies ensure their organizations remain relevant and successful.
10. Preparing for the Future of Artificial Intelligence and Automation
Artificial intelligence and automation are transforming industries. Leaders who understand how these technologies integrate with analytics can improve decision-making, enhance operational efficiency, and streamline processes. By staying ahead of advancements in AI and automation, businesses can adapt to future challenges. Leaders who invest in these areas prepare their companies for long-term success in an increasingly technology-driven world.
The role of leadership is evolving, and those who embrace analytical strategies will drive future success. Companies that rely on informed decision-making, operational efficiency, and personalized customer experiences gain a strong market position. Investing in advanced skills, workforce development, and emerging technologies ensures long-term growth. Leaders who commit to using analytics effectively will shape the future of their industries and set new standards for business excellence.
Real-time location systems (RTLS) have emerged as a groundbreaking technology, revolutionizing the way organizations track and manage assets, personnel, and overall workflow across various industries. By utilizing advanced wireless communication technologies such as RFID, Wi-Fi, and Bluetooth, RTLS enables accurate, real-time tracking of objects and individuals, delivering valuable insights that significantly enhance operational efficiency, safety, and decision-making. As more businesses recognize the immense potential of this technology, industries ranging from healthcare and manufacturing to logistics and retail are increasingly adopting RTLS for its ability to improve productivity, reduce costs, and optimize operations across the board.
Improved Asset Management
One of the foremost benefits of implementing RTLS is the significant enhancement in asset management capabilities. In environments where valuable assets are in constant use or movement, knowing their exact location can save time and reduce costs. Hospitals equipped with RTLS technology can effortlessly track medical equipment like wheelchairs, infusion pumps, and portable X-ray machines. Hospitals utilizing RTLS reported a 40% reduction in the time spent searching for equipment. This improvement not only boosts staff productivity but also ensures that patients receive timely medical attention, ultimately enhancing patient outcomes.
Enhancing Employee Safety
Another crucial aspect of RTLS is its role in enhancing employee safety, especially in industries like construction, warehousing, and manufacturing. By integrating RTLS, organizations can closely monitor the movements of their workforce, ensuring that safety protocols are strictly followed. RTLS can detect when an employee enters a hazardous area, triggering alerts to prevent accidents. In the event of an emergency, real-time tracking facilitates faster evacuation and response times. The ability to locate personnel quickly in crisis situations can significantly minimize risks and potentially save lives.
Optimizing Operational Efficiency
RTLS can also lead to major improvements in operational efficiency by streamlining processes and reducing waste. With better visibility of asset locations, businesses can identify bottlenecks in workflow and take corrective action swiftly. Industries that rely heavily on inventory management, such as retail and logistics, benefit immensely from using RTLS technology. Accurate inventory tracking reduces excess stock and shrinkage, leading to lower operational costs. Manufacturers reported cost savings of up to 30% through better inventory management made possible by RTLS. Effective implementation of this technology yields more predictable operation timelines, enhancing overall productivity.
Data Insights and Analytics
Leveraging the data collected through RTLS allows organizations to gain insights that were previously unobtainable. By analyzing location data, companies can optimize their operational strategies and make informed decisions based on real-time trends. If you pay attention to https://www.pozyx.io, you’ll see how such knowledge enables companies to adapt to changing conditions and improve their overall performance. A logistics company utilizing RTLS can track delivery times and analyze route efficiencies, thereby reducing transportation costs and improving customer satisfaction. The source of this insightful data can often be found by exploring various providers, including specialized platform, which focuses on offering tailored solutions for RTLS implementation across multiple sectors. With the right systems in place, businesses can become more agile and responsive, gaining a competitive edge in their markets.
Enhancing Customer Experience
In addition to optimizing internal processes, RTLS can significantly enhance customer experience. Retailers using RTLS to track customer behavior in-store can analyze foot traffic patterns, determine which products attract the most attention, and personalize marketing strategies accordingly. By providing tailored services and promotions based on customer movements, businesses can not only increase sales but also foster customer loyalty. Companies that apply RTLS to track customer engagement see increased satisfaction ratings as they can address customer needs proactively.
The Future of RTLS
The future of real-time location systems looks promising, with continuous advancements in technologies creating even more opportunities for innovation across industries. As Internet of Things (IoT) devices proliferate, RTLS will become increasingly integrated into smart manufacturing and smart cities, facilitating seamless operations. Advancements in machine learning and artificial intelligence can enhance data processing and provide even deeper insights into location-based analytics. The combination of these technologies could lead to unprecedented levels of automation and optimization, fundamentally changing how organizations operate. As industries realize the multitude of benefits provided by real-time location systems, the movement toward their adoption will only gain momentum.
Real-time location systems (RTLS) are revolutionizing industries by offering unparalleled benefits in asset management, employee safety, operational efficiency, and customer experience. As businesses continue to adopt and integrate this technology, they unlock new opportunities for streamlining processes, improving decision-making, and staying ahead of the competition. With ongoing advancements in IoT, AI, and machine learning, RTLS will undoubtedly shape the future of operations across various sectors, driving innovation and growth.
Artificial intelligence (AI) is changing the way financial institutions operate. From preventing fraud to helping people manage their money more effectively, AI is becoming essential to the financial world. Banks, lenders, investment firms, and even insurance companies use AI to improve efficiency, reduce risks, and enhance customer experiences.
For many people, AI in finance still feels like a complex topic. But AI already influences how we borrow money, invest, and even protect our personal data. This article will explain how AI transforms finance, making financial services smarter, safer, and more accessible.
AI in Fraud Detection
Financial fraud is a multi-billion-dollar problem. In 2023, the Federal Trade Commission (FTC) reported that fraud losses in the U.S. exceeded $10 billion. AI is now a key player in detecting and preventing fraud before it causes significant damage.
Here’s how AI helps fight fraud in real life:
Account protection. If someone tries to log in from an unfamiliar device or unexpectedly changes settings, AI notices and blocks suspicious activity.
Detection of fake documents. Fraudsters create fake IDs using stolen data, but AI scans financial databases and finds discrepancies, preventing them from opening fictitious accounts.
Biometric security. Banks actively use AI for facial recognition and voice authentication to make sure that the client is them and not a fraudster.
Instant transaction monitoring. AI analyzes millions of transactions per second, identifying suspicious patterns — for example, frequent small write-offs, unusual places of purchase, or quick transfers between accounts. This is how Mastercard leverages its AI capabilities to fight real-time payment scams.
AI in Credit Scoring
Previously, banks assessed borrowers based on limited criteria: credit history, debt level, and payment regularity. But, artificial intelligence makes this process more accurate by taking into account more factors and reducing the risk of errors.
Here’s what has changed since the introduction of artificial intelligence in finance:
Wider data analysis. Now, lenders look not only at traditional indicators, but also take into account rent payments, utility bills, and account transactions. This gives a chance to those who do not have a long credit history but have a stable income.
Applications are quickly approved. If a loan decision took several days previously, AI analyzes data in real-time and provides a result in minutes.
Less bias. With the development of AI, assessing borrowers has become more accurate. This is also noted by financial expert John Reeves from Magnolia Loans: “AI eliminates the human factor in credit scoring, which reduces the risk of errors and increases objectivity in decision-making.”
Personalized conditions. Instead of outdated models, banks can now offer interest rates more accurately reflect the borrower’s financial situation.
AI in Risk Management
Risk management is a top priority for financial institutions. Whether assessing borrowers’ creditworthiness, protecting investments, or ensuring stability in financial markets, AI is increasingly important in improving risk management efficiency and accuracy.
Here’s how financial artificial intelligence is helping with risk management today:
Market risk assessment. Hedge funds and investment firms, including BlackRock and Goldman Sachs, use AI-powered models to analyze market trends and predict fluctuations. This helps investors minimize losses during economic downturns.
Loan default prediction. AI models analyze borrowers’ credit histories, income levels, employment stability, and even spending patterns to predict the likelihood of default.
Cybersecurity risk detection. AI detects vulnerabilities in banking systems, identifying patterns that indicate hacking attempts or data breaches before they happen.
Real-time transaction monitoring. AI-powered software, such as Fiserv’s Risk & Fraud Solutions, monitors real-time banking transactions, identifying potential fraud or financial instability.
AI in Customer Service
AI in banking and finance is changing the way we interact with customers. Chatbots, virtual assistants, and AI-powered customer service tools make banking more efficient by answering questions, solving problems, and offering financial advice.
Many major banks provide AI-powered virtual assistants that help customers with everything from checking their balances to scheduling bill payments. These AI-powered assistants reduce the workload on the call center and instantly answer common banking queries.
AI is also improving customer personalization. For example, AI-powered recommendation systems analyze spending habits and suggest savings plans, credit card upgrades, or investment opportunities based on the user’s financial behavior.
Another key benefit is accessibility. Voice assistants and chatbots in consumer finance allow customers to interact with their banks 24/7 without waiting for a human agent. This ensures that people can get help anytime, whether verifying a transaction or disputing a payment.
AI in Investment Strategies
Investing is no longer limited to professionals. AI-powered tools help individuals and companies make smarter investment decisions by analyzing market trends, risks, and opportunities faster than any human could.
Here’s how AI is used in investing today:
Automated portfolio management. Robo-advisors use AI to create and rebalance portfolios based on a user’s financial goals and risk appetite.
Market trend analysis. AI-powered software scans news articles, earnings reports, and stock price movements to identify profitable investment opportunities. Bloomberg Terminal integrates AI-powered analytics to help investors make informed decisions.
Algorithmic trading. Hedge funds use AI to automate trading strategies, reducing the need for emotional decision-making and improving trade execution.
Alternative data analysis. AI processes non-traditional data sources, such as satellite imagery and social media sentiment, to predict stock performance.
AI in Compliance
Regulatory compliance is a major challenge for banks, but AI is helping institutions stay within the law by automating complex reporting and monitoring processes.
Banks must comply with regulations such as the Bank Secrecy Act (BSA) and Dodd-Frank Act, which mandate strict anti-money laundering (AML) policies. AI helps by scanning transactions and detecting potential money laundering schemes. Software from companies like FICO and SAS uses AI to analyze financial activity and flag suspicious transactions for further investigation.
Another area where AI is making compliance easier is data protection. Regulations like the Gramm-Leach-Bliley Act (GLBA) require banks to safeguard customer information. AI-powered cybersecurity tools detect vulnerabilities in banking systems and prevent data breaches.
The Dark Side of Artificial Intelligence in Financial Services
AI in finance comes with risks and ethical concerns that need careful oversight.
Here are the main problems and risks:
Data privacy concerns. AI systems collect massive amounts of financial data, increasing the risk of security breaches.
Algorithmic bias. If AI models are trained on biased data, they can reinforce discrimination in lending and hiring decisions.
There is a lack of transparency. AI-powered financial models often operate as “black boxes,” making it difficult to understand how decisions are made.
Cybersecurity threats. Cybersecurity threats continue to increase, especially from hackers using artificial intelligence. These hackers conduct sophisticated phishing, social engineering, and voice and video cloning attacks, which threaten the security of AI-based financial systems.
Is There a Future for AI in Banking and Financial Services?
In the future, artificial intelligence (AI) will become an integral part of financial services, helping to create safer, more efficient, and personalized solutions for consumers. AI is expected to be more deeply integrated into various aspects of the financial sector, from risk assessment to fraud prevention, opening up new horizons for improving the quality of service.
One of the most significant changes will be the mass adoption of AI-based voice banking. This technology will allow customers to safely manage their accounts, make transfers, and receive advice using voice commands. Systems such as voice assistants and chatbots can already understand and process requests, but they will be significantly improved in the future. AI will learn to recognize context, intonation, and nuances of speech, providing customers with more personalized and efficient services.
Fraud has always been one of the biggest problems in the financial sector, and AI will play a key role in its prevention in the future. Today’s systems already use algorithms to analyze transactions and identify suspicious activity, but in the coming years, AI will become even more accurate and faster at detecting fraud. Systems will be able to respond to current threats and predict new types of fraud, adapting to the constantly changing methods of attackers. This will allow the blocking of unwanted transactions and the warning of clients about possible risks in real-time.
Robo-advisors using AI are already helping investors make decisions based on analytics and current market trends. In the future, these technologies will be even more advanced, with the ability to personalize advice for each client based on their financial goals, risk tolerance, and life circumstances. AI will analyze large amounts of data, including historical trends, customer behavior, and economic forecasts, to provide recommendations that best suit individual needs.
However, introducing AI in banking and finance will raise new ethical questions. How will fairness and transparency in decision-making be ensured? Who will be held responsible if AI makes a mistake? In the future, new rules and standards will be developed to regulate the use of AI to prevent possible risks associated with discrimination, unauthorized access to data, and violation of consumer rights. These measures will create a balanced and safe interaction between people and artificial intelligence in the financial sector.
Just Eat, Ireland’s leading on-demand food delivery platform, has today announced it will be rolling out its Artificial Intelligence (AI) Assistant to empower everyday convenience. The programme will provide consumers with even more innovative ways to order on Just Eat. The AI Assistant was first tested in the UK in 2023, and is now being rolled out in Ireland, among other markets over the coming months.
With the roll-out of Just Eat’s new AI Assistant, consumers will now be able to search and place their orders through text ordering and receive personalised recommendations. This includes helping consumers discover new restaurants and meals, creating a more efficient and seamless selection process on the Just Eat platform.
Beyond enhancing the selection process for food, groceries, and non-food items, the AI Assistant also enhances customer support. It can summarise reviews, highlight key details about restaurants and stores, and tailor suggestions based on customer preferences. Additionally, it helps direct users to further support when needed. As Just Eat continues to expand and refine this service, the goal is to leverage consumer feedback to improve the experience, introduce new features, and optimise before rolling out more widely.
Amanda Roche-Kelly, Managing Director, Just Eat Ireland said, “As a technology-led company, we are constantly looking for ways to drive innovation within the food delivery sector. We are wholly committed to investing in emerging technology that allows us to not only continuously deliver a positive experience to our customers, but also to improve engagement with our restaurant partners through the platform.”
“While Just Eat has leveraged AI to support various facets of its business for some time, leveraging it to enhance the way we deliver services, makes perfect sense. By offering Irish consumers more choice and convenience, be that in terms of food takeaways or grocery and convenience items, this helps us maintain a best-in-class user experience, which benefits everyone, including our extensive network of restaurant and grocery partners.”
Just Eat Expands Drone Delivery Footprint
Just Eat is committed to implementing innovative solutions to deliver a positive customer experience, and the launch of Just Eat’s AI Assistant comes as the company announces an extension of its partnership with Manna Drone Delivery to roll out the use of drones for deliveries in Ireland. The company previously worked with Manna as part of a pilot in Galway in 2021.
Starting in Ireland, with plans to roll the partnership out in other markets across Europe, this service provides a new delivery option for customers, enabling them to receive their orders from participating partners via drones, which will be deployed from local delivery hubs operated by Manna. Once the food has been loaded onto the drone, customers will receive their orders in as little as three minutes.
The aim of this partnership is to improve operational efficiency during peak times, giving customers flexibility and convenience in how they receive their order, helping to drive a more efficient customer experience.
This partnership marks a significant step forward in revolutionising food delivery in Ireland, combining Just Eat’s commitment to convenience and Manna’s cutting-edge drone technology to offer faster, more innovative service to customers.
“At Boojum, we’re always looking for innovative ways to enhance our customer experience and to stay ahead of the curve and integrating Manna Drone Delivery with Just Eat encapsulates that. Speed, convenience, and quality are at the heart of what we do, and this partnership allows us to bring our fresh, bold flavours to customers in a whole new way. We’re excited to be at the forefront of this concept and can’t wait for more of our customers to experience their favourite Boojum meals delivered by drone,” commented Rob Powell, Head of Operations at Boojum.
A Roofing CRM (Customer Relationship Management) system is a powerful tool that can significantly enhance the way roofing businesses interact with their customers, streamline operations, and ultimately boost customer retention. In a highly competitive industry like roofing, maintaining strong relationships with customers is essential to not only secure new business but also to ensure repeat business and referrals. A Roofing CRM can play a pivotal role in transforming customer relationships and driving long-term success for roofing contractors.
1. Centralized Customer Data and Information
One of the most transformative features of a Roofing CRM is its ability to centralize customer data in one accessible location. Traditionally, roofing businesses often rely on disjointed systems such as spreadsheets, paper records, or multiple digital tools that make it difficult to retrieve important customer information. This fragmentation can lead to errors, missed opportunities, and communication breakdowns.
A Roofing CRM brings everything together in a single, organized platform. It stores all customer interactions, job history, quotes, contracts, and communication notes, making it easy for roofing contractors and their teams to access relevant information at any time. This centralization allows for a more personalized approach to customer service, as contractors can refer to past jobs, track customer preferences, and tailor their interactions to meet specific needs.
2. Enhanced Communication with Customers
Communication is at the heart of any strong customer relationship. In roofing, where projects can be complex and span over days or weeks, consistent and clear communication is vital. A CRM ensures that communication is streamlined and organized. By tracking all conversations and interactions, roofing contractors can ensure they’re following up on inquiries, addressing concerns promptly, and sending timely updates.
For example, automated reminders can be set up to notify contractors when to follow up with a lead or when a customer’s roof maintenance is due. Furthermore, communication can be personalized to the customer’s specific needs, whether it’s sending a quote, confirming an appointment, or providing updates on the progress of a roofing job. The CRM can also facilitate multiple channels of communication, including email, text, and phone, which makes it easy for customers to reach out and receive timely responses.
This improved communication results in a more professional customer experience. Clients feel valued when they are consistently kept in the loop and when their questions or concerns are addressed promptly. This fosters trust, making customers more likely to return for future roofing needs and recommend the company to others.
3. Efficient Lead Management and Conversion
A Roofing CRM is essential in managing leads effectively, from initial inquiry to conversion. In the roofing business, generating leads is crucial, but it’s just as important to manage those leads properly to ensure that opportunities aren’t lost. The CRM allows roofing companies to track each lead’s journey through the sales pipeline and assign tasks to the appropriate team members to ensure timely follow-up.
When a lead shows interest in a roofing service, the CRM can automatically categorize them based on various factors such as location, service needs, or budget. This segmentation allows roofing contractors to prioritize leads based on their likelihood to convert. Additionally, the CRM can provide insights into lead sources, helping businesses identify which marketing strategies are most effective in generating high-quality leads.
This streamlined lead management process ensures that no lead is forgotten or neglected, ultimately improving conversion rates and generating more revenue. Customers will appreciate the efficiency and responsiveness of a roofing company that manages their needs proactively and effectively.
4. Improved Customer Retention through Service History Tracking
A CRM’s ability to track the service history of each customer is invaluable for long-term retention. Roofing companies often rely on repeat business and referrals, which makes it essential to maintain strong relationships with past customers. By keeping a comprehensive record of past projects, including the type of service, materials used, dates of installation, and any follow-up work, roofing contractors can ensure that customers receive the best possible care over time.
For instance, if a customer’s roof was installed several years ago, the CRM can flag this information and automatically remind the contractor when it’s time for a routine inspection or maintenance check. By proactively offering these services, roofing companies can build trust and establish themselves as reliable, customer-focused businesses that care about their clients’ long-term needs.
The CRM can also assist in sending personalized follow-up emails or reminders, such as seasonal maintenance suggestions or updates about new roofing technologies. These touchpoints keep the business top-of-mind and foster ongoing engagement, which can help secure long-term customer loyalty.
5. Personalized Marketing and Customer Engagement
Another significant advantage of a Roofing CRM is its ability to segment customers and target them with personalized marketing campaigns. By analyzing the data stored in the CRM, roofing companies can gain insights into their customers’ preferences, behaviors, and needs. This information can be used to create targeted marketing strategies that resonate with each individual customer.
For example, if a customer previously had a roof inspection done, the company can send an email offering a discount on a follow-up inspection or a complementary roof cleaning service. By personalizing these communications, roofing contractors can provide more value to their customers and keep them engaged with the brand.
Moreover, the CRM can track customer interactions with marketing materials, allowing roofing companies to assess the effectiveness of their campaigns. This ensures that marketing resources are being used efficiently and that customers are receiving the most relevant information.
6. Task Automation and Workflow Optimization
Roofing companies often face busy schedules, with many moving parts and people involved in each project. A CRM can automate repetitive tasks, such as sending appointment reminders, following up with clients after a consultation, or creating invoices once a job is completed. This saves time for the roofing company and ensures that important actions aren’t overlooked.
Automation of routine tasks frees up staff to focus on high-value activities, such as building relationships, troubleshooting issues, and completing jobs on time. By streamlining operations, roofing companies can improve efficiency, reduce errors, and ultimately offer a better customer experience. This level of service can increase customer satisfaction and make clients more likely to return for future roofing needs.
7. Analytics and Reporting for Continuous Improvement
Lastly, a Roofing CRM provides powerful analytics and reporting tools that can help businesses track key performance indicators (KPIs) related to customer satisfaction, sales, and overall business growth. By examining trends, such as the types of services most requested or the effectiveness of follow-up strategies, roofing contractors can continuously refine their approach to customer relationship management.
These insights also allow businesses to identify areas for improvement and make data-driven decisions. For instance, if a company notices that a particular sales rep has a higher conversion rate, they can analyze their approach and train other team members to replicate the success. By leveraging the data captured in the CRM, roofing companies can adapt to customer preferences, improve their offerings, and ultimately strengthen customer loyalty.
Conclusion
A Roofing CRM can completely transform how roofing companies manage their customer relationships. By centralizing customer data, improving communication, automating tasks, and providing valuable insights, a CRM helps roofing businesses deliver exceptional service that leads to higher customer satisfaction, repeat business, and long-term retention. In an industry where competition is fierce and customer loyalty is vital, a CRM is not just a tool—it’s a game-changer. With the right CRM system in place, roofing contractors can build stronger, more meaningful relationships with their clients and position themselves for sustained growth and success.
