Nobody manages energy at 200 sites.
Because nobody's job is energy at any of them.
A convenience store spends $2,000–6,000 a month on electricity — refrigeration, HVAC, lighting, and increasingly EV chargers. Energy is the second biggest operating cost after labor. But there is no energy function. Not at the store. Not at regional. Not at head office. The store manager manages staff and inventory. The regional manager manages sales. The CFO sees 200 electricity bills as a single line item in the P&L. Nobody is connecting what each store does to what each store consumes.
So every store runs on the same schedule someone set during fit-out. The fridge at store 47 cycles 40% more than the identical unit at store 48. Nobody knows. The HVAC runs at full capacity at 3am. Nobody knows. A 20% energy reduction across 200 sites goes straight to the bottom line — but nobody is looking.
Model your portfolio economics200 bills arrive.
200 opportunities disappear.
Every month, 200 electricity bills arrive as single numbers. You don't know which stores waste the most. You don't know which compressors are degrading. You find out about the broken cold room when the store manager calls to say the ice cream melted — $15,000 in spoiled product, a compliance incident, and a conversation with the insurer.
Head office sets energy targets. The stores don't have the tools, the people, or the visibility to hit them. Every site is slightly different — strip mall vs. standalone, north-facing vs. south-facing, high foot traffic vs. low — but they all run the same schedule. The result: 15–30% waste hiding in plain sight across the portfolio.
EV chargers are arriving at forecourts. Your competitors already have them. But you don't know what a 50kW charger does to a store's demand charge.
$2–6K/mo
Per-site electricity
Refrigeration, HVAC, lighting — unmanaged at every single site
0%
Sites with energy visibility
You find out about problems when the bill arrives or something breaks
$15K+
Per spoilage incident
Compressor failure = product loss + compliance risk + insurance claim
2–5%
Net margin
A 20% energy reduction across 200 sites changes the P&L
Every store has a rhythm.
Every store's energy follows it.
A convenience store's energy signature tells the story of its day. The morning ramp is the lights coming on and the HVAC starting. The midday plateau is steady-state — refrigeration holding, lighting at full, HVAC fighting the afternoon heat. The evening dip is foot traffic dropping. The overnight baseline is refrigeration-only.
That pattern repeats across 200 stores — but not identically. The strip-mall store runs hotter because of the shared wall. The standalone store has a compressor that cycles 40% more than its twin at the next site.
Nobody sees these patterns today. Wattif reads every store's energy signature. It learns the pattern. It spots the deviations — the stores that cost more than they should, the equipment that's degrading, the schedules that don't match reality. Across all 200 sites. Simultaneously.
Stagger the defrosts. Coast the fridges. Dim the aisles.
Across every store.
Demand coordination
Staggers defrost cycles. Walk-in coolers coast on thermal mass. Aisle lighting dims 15% during peaks. HVAC setpoints shift 1–2°C when foot traffic is low. The demand spike that sets your monthly charge never happens.
Portfolio pattern intelligence
Benchmarks every store against peers. Store 47's compressor draws 35% more? Maintenance flag. Store 112's energy-per-square-meter 40% above cohort? Wrong HVAC schedule. Store 203 has 80kW headroom? Best EV charger candidate.
Refrigeration compliance
Cold room temperature logged continuously. HACCP compliance as a side effect. Compressor baselines detect degradation weeks before failure. No clipboard. No gaps. Always audit-ready.
EV readiness
Knows which stores have headroom, which need load coordination to fit a charger within the existing grid connection, and which truly need an upgrade. No guesswork. Data-driven rollout.
15–25% lower spend.
Across every site. Starting month one.
15–25%
Demand charge reduction
Per store, recurring, starting month 1
$800K–2M/yr
Portfolio energy savings
At 200 sites, before EV economics
100%
Automated compliance
Every cold room, every hour, always audit-ready
10 → 200
Configure then copy
Same optimization, transferred across every store type
Half a day per store.
Store stays open.
Clip-on CT clamps on the distribution board. Wireless temperature sensors in cold rooms and display cabinets. HVAC gateway for setpoint control. No wiring. No shutdown. No disruption to trading. One technician. Half a day.
At 200 sites: 4-month rollout with a 2-person team. The platform starts learning each store's load profile immediately. Within a week, it has baselines for every compressor and a thermal model for every zone. Optimization kicks in automatically.
One store saves on energy.
200 stores change the P&L.
Every store adds to the portfolio intelligence. Configure 10 stores. Validate. Roll out 200 in months. Every store benchmarked against peers — by format, by climate zone, by equipment vintage. The outliers surface automatically. The optimization logic transfers because the physics is the same.
10
Pilot stores
Configure, validate savings, prove the model
Template & replicate
Same sensors, same logic, different address
200
Full portfolio
Every store benchmarked, optimized, compliant
“We had no idea what was happening at individual stores. Wattif showed us that 30 sites were running compressors 24/7 when they should have been cycling. Fixing that alone saved $400K in the first year.”
— VP Operations, Regional Convenience Chain (180+ stores)
Show us 10 stores. We'll show you the portfolio plan.
Store formats, tariff structures, equipment mix. We'll model the per-store savings and the portfolio-wide economics — energy, compliance, and maintenance combined.