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4 Ways to Make Franchise Stores More Energy Efficient

Slash energy waste and costs without burdening store owners

If you're running a retail franchise network, energy efficiency isn't just about sustainability—it’s about survival. With small profit margins and high cooling costs eating into the bottom line, every wasted kilowatt-hour is lost revenue.

The challenge? Most franchise store owners aren’t energy experts. They focus on running their business, keeping shelves stocked, and ensuring customers have a great shopping experience. Meanwhile, at headquarters, your energy managers struggle to track and optimize energy performance across multiple locations. Hidden energy leaks, unclear return on investment (ROI) for remodelling projects, and a flood of irrelevant alerts make it nearly impossible to take action, leaving energy managers feeling overwhelmed.

The good news? Smart energy management software changes the game. It helps headquarters monitor efficiency across all stores, identify underperforming locations, and empower franchisees with clear, actionable insights—without adding complexity to their day-to-day operations.

1. Cut Through Alert Spam - Focus on What Actually Matters

The Problem: Too Many Alerts, Too Little Action

Most retailers have energy monitoring in place, but the alerts? A nightmare. Energy managers are bombarded with notifications for every minor fluctuation—fridge doors opening, brief temperature dips, slight spikes in consumption. This “alarm fatigue” leads to one of two things:

  • They ignore alerts altogether (risking serious energy waste)
  • Or they spend hours chasing non-issues

The Solution: AI-Powered PrioritiZation

Instead of overwhelming managers with raw data, smart energy management software automatically filters out the noise and pinpoints the critical issues that actually need attention.

  • Root cause detection – Instead of vague alerts like “Energy spike detected,” the software diagnoses the issue—for example, “Refrigeration unit #3 is running 20% longer than usual due to a faulty door seal.”
  • Prioritized action items – Instead of 50+ generic alerts, managers get a short, ranked list of the top five most impactful issues to fix.
  • Immediate cost savings – This helps headquarters guide franchisees on quick wins, like adjusting cooling settings or fixing inefficient equipment.

Example: A franchise store in Brussels saw an unexplained energy surge. Instead of digging through data, the AI flagged the issue: a freezer compressor was running non-stop due to a faulty thermostat. Fixing it cut energy costs by 12% in one month.

2. Optimize Cooling & Heating Across Seasons

The Problem: Balancing Temperature Control Without Overspending

For franchise stores, cooling and heating make up the biggest chunk of energy costs. Refrigeration needs to stay cold, but overcooling wastes energy. Storefronts need heating in winter, but poor insulation or inefficient settings lead to unnecessary consumption.

The Solution: Smart Seasonal Adjustment

AI-powered energy software learns the store’s energy patterns and automatically suggests adjustments to keep cooling and heating costs under control.

  • Refrigeration efficiency checks – Detects if cold storage units or display fridges are running at the right efficiency levels, reducing excess consumption.
  • Heating optimization – Identifies whether stores are heating efficiently in winter, suggesting adjustments in ventilation or insulation if heating costs are too high.
  • Automated energy insights – Shows franchisees how their heating/cooling compares to similar stores in the network, helping them adjust their settings accordingly.

Example: A supermarket in Antwerp saw energy bills spike every summer. AI models revealed that refrigeration units were set 3°C colder than necessary, increasing costs by 8% unnecessarily. A small setting adjustment resulted in immediate savings.

3. Prove ROI & Track Energy Savings Over Time

The Problem: CFOs Want Hard Numbers, Not Just Promises

For energy-saving or remodelling projects—whether upgrading lighting, replacing refrigeration units, or adding insulation—the biggest challenge is proving the financial return. Franchisees won’t invest if they can’t see the impact, and CFOs won’t approve large-scale rollouts without hard data.

The Solution: Real-Time ROI Tracking

With AI-powered monitoring, headquarters and franchisees can see the financial impact of energy efficiency measures in real time.

  • Before vs. after comparisons – Track energy consumption before and after a project to measure actual savings.
  • Projected vs. real ROI – Compares estimated vs. real financial impact, helping justify future investments.
  • Long-term trend analysis – Allows headquarters to track improvements across all stores and identify which locations benefit most from specific upgrades.

Example: A franchise store underwent a full energy-efficient remodelling, including adding insulation, replacing the refrigeration unit, and switching from gas heating to a heat pump. Despite extending operating hours to open on Sundays, the store still managed to cut total energy consumption by 28%. AI-powered tracking helped prove these savings in real time, giving the retailer the confidence to roll out similar upgrades across other locations.

4. Benchmark Stores & Identify Underperformers

The Problem: No Visibility INTO Store-to-Store Performance

Some franchise stores are naturally more efficient than others, but without clear benchmarking, it’s hard to identify where the biggest inefficiencies lie.

The Solution: Performance Benchmarking

AI-driven energy monitoring compares stores across the network, identifying the best performers and highlighting those that need improvement.

  • Top-performing stores – Identify stores that operate with the best energy efficiency and share best practices across the network.
  • Underperforming locations – Pinpoint stores using significantly more energy than similar locations, allowing headquarters to intervene and guide improvements.
  • Regional adjustments – Benchmarks take into account climate differences, so stores in hotter or colder areas get fair comparisons.

Example: A franchise retailer with 150 locations discovered that 10 stores were consuming 8% more energy than the average. AI pinpointed the reason: outdated refrigeration settings. Adjusting them saved €100,000 across the network.

Want to cut energy costs in your franchise stores? Check out how our product works for retail stores

The Bottom Line: Smarter Energy Management = Lower Costs & Higher Profits

With small margins and high cooling costs, franchise stores can’t afford energy waste—but they also don’t have time to become energy experts. AI-powered energy management software bridges the gap, enabling headquarters to monitor, guide, and improve energy efficiency without burdening franchisees with complex data.

Key takeaways:

  • Cut through alert spam—only fix what truly matters
  • Optimize cooling and heating to prevent seasonal waste
  • Prove ROI on energy projects in real time to unlock investment
  • Benchmark stores to identify underperformers and share best practices

By adopting AI-native energy management, retailers can reduce costs, increase profits, and future-proof their franchise network—all while making sustainability an effortless part of daily operations.

Want to See How AI Can Optimize Your Franchise’s Energy Costs?


Let’s chat! Book a free consultation to explore how Enersee’s Virtual Energy Manager platform can cut your franchise's energy costs while keeping operations simple for store owners.

ABOUT ENERSEE
Collaborative Energy Management

Written by 

Joachim

 and 

Katrien

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