In the ever-evolving landscape of retail tech, staying ahead of the curve is not just advantageous — it’s mandatory for survival. Currently, small-to-midsize retailers face an unprecedented opportunity to leverage artificial intelligence (AI) features to gain an advantage, enhance employee productivity and optimize operations. But the ability to tap into these tools hinges on one critical thing: integrated data.
Last month, I attended a presentation by a global “technologist.” The key takeaway was pretty straightforward: AI is the biggest disruptor business has ever seen, and that train is coming fast. However, his was not a gloom-and-doom message. Rather than warning that AI will put us out of work, he talked about how AI will change how we all work. The trick, he emphasized, is to understand what processes can and will become automated, and get out in front of that trend.
The future of retail is data-driven, and AI will be the jet engine powering it.
Opportunities for Retailers
Here are some examples of how data integration can help make sure you jump on board that train rather than out of its way.
Incite Growth With Instant Insights: When data is integrated across systems, retailers gain a comprehensive view of customer behaviors and preferences. This holistic insight allows for more targeted marketing, more personalized shopping experiences and the capacity to spot trends and opportunities that would otherwise likely remain buried in data. For example, predictive analytics powered by integrated data can forecast demand, optimize inventory levels and reduce stockouts or overstock situations.
Power Up Employee Productivity: Data silos are the enemy of efficiency. When employees navigate multiple systems to find information, it slows them down and increases errors. Integration streamlines workflows, allowing teams to focus on what they do best: helping customers. Imagine your team having instant access to real-time inventory levels, customer purchase history and sales analytics, all from one dashboard. This is an example of how data integration can help you and your team work smarter.
Align and Trust Your AI: For AI to be a truly effective tool, it needs a steady stream of accurate, comprehensive data. Integration ensures that AI systems receive the data they need to make reliable predictions and decisions. This alignment builds trust in the technology, both for teams and customers. When good data fuels trustworthy AI systems, it can lead to excellent customer experiences and supercharge sales. As AI continues to evolve, features like chatbots, personalized recommendations and dynamic pricing will continue to become even more sophisticated and valuable.
What Automation Is Coming Next?
One of the coolest things about being a “solutions-neutral” IT company is that we are not hitched to any one wagon. Our job is to know what is going on out there, who is behind what and which IT solutions will best fit the portfolio of each unique client. Here is the short list of the new tech options we are currently most excited about.
Smart Inventory Management: By next year, we expect to see AI-driven automation in inventory management. Systems will automatically reorder stock based on predictive analytics, optimizing inventory levels with as little waste as possible. Smart shelves and internet of things (IoT) devices will monitor stock in real time, alerting staff to replenish items before they run out.
Personalized Marketing Automation: AI will take personalized marketing to the next level without additional sweat equity. By integrating customer data from various touch points, AI systems can craft customized marketing campaigns, predicting what customers want before they know it themselves. Fortune 500 companies have already been doing this for years, so it is exciting that small-to-midsize businesses will now also be able to automate email campaigns, dynamic website content and personalized ads on all platforms.
Supercharged Customer Service: As smart service systems like chatbots and virtual assistants continuously learn and improve, AI will handle an increasingly significant chunk of customer service inquiries, providing instant responses and freeing up your people to handle more complex issues. This will help you and your teams provide more accurate and helpful responses.
How to Get Started
No one likes change, especially in tech. We already have plenty of stress to deal with, just from hiring and retaining quality staff, operational oversight and trying to make all the right decisions about inventory, pricing, channel strategy, marketing and customer experience. AI will change the game, but only if you are ready when it is. Here are some ways to ensure that.
- Assess Your Current Systems: Identify data silos within your organization, and evaluate the compatibility of your current software and platforms.
- Choose the Right Integration Tools: Look for tools that offer seamless integration capabilities, such as middleware platforms or API solutions. Consider solutions like Zapier for basic integrations or more robust options like MuleSoft for complex environments. If “API” and those other terms means nothing to you, outsource this to the experts!
- Implement Gradually: Start with the most critical systems first, such as your POS, order management and inventory management systems. Gradually expand integration efforts to include CRM, marketing automation and other platforms.
- Train Your Team: Be 100% sure that your team understands the benefits of data integration and how to use the new tools effectively. Provide ongoing training and support to ease the transition.
- Monitor and Optimize: Continuously monitor the performance of your integrated systems. Be prepared to make adjustments and optimizations as needed.
Watch Out
Anything new carries some risk, so to make the transition easier, here are some factors to be aware of as you wade into these new waters.
- Data Privacy and Security: Ensure that your integration efforts comply 100% with data privacy regulations such as GDPR and CCPA. Protecting customer data should be a top priority, and the rules are evolving.
- Quality of Data: Bad data in, bad data out. Ensure the integrated data is clean and accurate to avoid inaccurate insights and misinformed decisions. This takes some elbow grease, but it is worth the effort.
- Overreliance on AI: While AI is powerful, it should complement human decision-making, not replace it. Maintain a balance between automation and human oversight, and use common sense. Check in often and look deeper if something twitches your gut.
- Integration Costs: Be mindful of the costs associated with integrating systems and look for scalable solutions that fit your budget and growth plans. They are out there.
- Change Management: Integrating data can disrupt existing workflows, and people do not always take kindly to that kind of change. Manage it effectively by being very clear on why it is necessary, what will be gained and what “next” looks like. Involve key stakeholders in the process and don’t minimize team members’ concerns.
The future of retail is data-driven, and AI will be the jet engine powering it. By integrating data now, small-to-midsize retailers can set the stage for leveraging it to its peak potential. The time to act is now: Integrate your data, harness the power of AI and start planning to elevate your business to new heights.
Sean Quinn is the CEO of All Point Retail, a retail technology company that provides managed commerce solutions for businesses. He is a true veteran, both literally and figuratively. Bolstered by years of military experience in a variety of positions and commands, his strategic intelligence background laid the foundation for his passion for business intelligence through technology — especially in the retail arena.
