For many retail owners energy is just another bill, and one that keeps going up. Whether you run a local shop, a café from a small building (less than 100 sq ft) or own hundreds of franchise locations, you likely don’t have the time or tools to understand what’s driving that cost, let alone how to reduce it. And if you rent your space or operate under franchise rules, making changes to things like heating, cooling or lighting isn’t always straightforward.
In small retail spaces, energy is often treated as a fixed cost. The lights come on when the store opens, heating or cooling runs all day, and everything is switched off at closing, or sometimes even forgotten entirely.
However, stores can automatically adjust how energy is used throughout the day without the need for staff to manage it. For example, lighting can dim slightly during quieter periods, air conditioning units can reduce after closing hours, equipment can switch off automatically overnight and alerts can flag if something is using more energy than expected. This matters because in many buildings, a significant portion of energy is simply wasted, and is some cases up to 30% of electricity consumed.
These small adjustments add up. Even simple changes can reduce energy use by around 5%, with further improvements possible over time helping lower bills without disrupting daily operations, and in many cases payback can be as quick as two years.
These powerful modifications to lighting, cooling and heat are driven by AI, and although it might seem like a technology built for large organizational footprints or complex systems, today it’s becoming far more accessible and relevant to retailers with smaller premises too.
Designed for Busy Store Owners, Not Energy Experts
Retailers running from smaller buildings typically don’t have a facilities manager and don’t want to become one, and the idea of AI can feel overwhelming. But in practice it doesn’t need to be.
The biggest shift isn’t about adding new systems to manage, it’s about removing the need to manage them at all. AI can continuously learn how a store operates and make real-time adjustments automatically, based on factors like opening hours, footfall and weather. Unlike traditional systems that rely on fixed schedules, this approach is always adapting and improving in the background, without human intervention.
That means there is no need for dashboards to constantly monitor, technical expertise and no disruption to day-to-day operations.
Working Within the Reality of Rented and Franchised Stores
For many retailers, control is limited. If you lease your space, you may not be able to change core systems like HVAC. If you’re a franchisee, you may also need to follow brand standards or approved equipment lists. New solutions are designed with these realities in mind. They can work alongside existing equipment, require little or no changes to infrastructure and be deployed without disrupting store operations.
For franchise operators with multiple sites, standardized solutions can also help ensure consistency across locations while still delivering savings at each individual store. More importantly, they gain visibility across their portfolio and can identify where energy is being wasted and where improvements can be rolled out.
A Practical, Cost-Effective Step Forward
Every investment needs to make sense. The advantage of today’s AI-driven solutions is that they don’t require large upfront changes or specialist expertise. They can start small, deliver quick wins and improve over time making them a practical and cost-effective option rather than a major transformation project.
More importantly, they shift energy from being a fixed, uncontrollable cost to something that can be actively managed without adding more work.
A More Comfortable Store With Less Effort
Energy isn’t just about cost. It also affects customer experience. If a store is too hot, too cold, or poorly lit, customers notice and it can impact how long they stay and how much they buy.
AI-powered systems can automatically adjust conditions based on real-world activity such as how many people are in a shop or time of day, helping to maintain comfort without constant manual input. In fact AI powered HVAC and other systems have maintained comfort while improving efficiency, therefore balancing both experience and cost in real time.
For many retailers, equipment issues only become visible when something goes wrong. A fridge may stop working or the heating fails on a cold day. These problems are disruptive and costly.
With smarter monitoring in place, store managers can be alerted earlier before issues escalate. AI can even identify recurring issues or inefficiencies that would otherwise go unnoticed, helping reduce unnecessary alarms and maintenance efforts. And of course, avoiding escalation has a knock on effect – stores avoid sizeable emergency repair costs, product loss (especially for food retail) and unexpected downtime.
A Smarter Way to Run Your Store
Retail has never been more demanding with tighter margins and busy schedules.
Technology that works quietly in the background can make a meaningful difference. By automatically managing energy use and helping prevent issues before they occur, stores can lower operating costs, reduce waste, improve consistency and free up time for what matters most – running the business.
For many retailers, it’s not about transforming their store overnight. It’s about taking simple steps that deliver immediate value and providing efficiency at scale without adding complexity.
And increasingly, that starts with making the building itself work smarter.
After starting his career for 7 years as a Management Consultant, Jean Marc Zola has held several positions within Schneider Electric since 1998. Most recently, he was appointed to lead the global business for Building segments- Retail, Healthcare, Real Estate and Hotels. He is very excited to lead this business, especially in the current environmental context. Jean-Marc believes that buildings have a crucial role in addressing the climate crisis, and the key is the widespread adoption of electric and digital technologies. To ensure a more sustainable world for everyone, we must create future-ready buildings that are resilient, efficient and people-centric.
