Afresh For c-store fresh foodservice

Afresh for c-store fresh foodservice.

AI for c-store made-to-order, hot case, grab-and-go, and commissary. Built for the pace of Wawa, Sheetz, and 7-Eleven. Proven at Albertsons-grade scale.

25% Shrink reduction Across deployed fresh departments at Afresh customers.
3% Sales lift Incremental sales lift from better in-stock and assortment fit.
80% Stockout reduction On the items that drive trip frequency at lunch and dinner peaks.
Why now

The Wawa-grade scale moment is here.

C-store leaders are racing to win lunch and dinner. Wawa-grade made-to-order has built a multibillion dollar foodservice business inside a fuel canopy. Sheetz operates fresh at near-QSR pace across a thousand stores. 7-Eleven is rebuilding its national footprint around fresh because the margin math finally beats tobacco and packaged.

The growth case is settled. The execution case is not. Legacy DSD and packaged-goods inventory tools were never built for a hot case at 11am, a sandwich expiring at 3pm, or a commissary that has to turn three times a week. Shrink hides in waste sheets. Daypart in-stocks come down to a clipboard. The variance lands on the store manager.

Afresh is the AI platform built for fresh foodservice from the ground up. The same engine that took 25% of shrink out of Albertsons fresh, retuned for c-store complexity.

Built for c-store

Four pillars, one platform.

01 / Pillar

Made-to-order

Daypart-level forecasts for sandwiches, salads, and bowls. Prep guidance tuned to the lunch and dinner peaks that drive trip frequency.

02 / Pillar

Hot case

Shrink-aware production planning for pizza, roller, and rotisserie. Pull and discard signals based on real expiry, not clipboard rules.

03 / Pillar

Grab-and-go

Replenishment by daypart for cold case, fridge, and dessert. Reset cadence aligned to consumption, not delivery truck schedules.

04 / Pillar

Commissary

Demand signal that flows back to the commissary. Right-size production runs, cut overproduction, tighten the entire fresh supply chain.

"Afresh has become the system of record for how we run fresh. We trusted them to scale it across every department because the results were that consistent."

Albertsons Companies / Fresh leadership
C-store ROI math

Three levers. One P&L.

Lever 01

Shrink reduction. Take 25% out of fresh shrink across deli, hot case, and grab-and-go. Drops directly to gross margin on the highest-margin SKUs in the store.

Margin · Direct P&L
Lever 02

Foodservice sales lift. 3% incremental sales from better in-stock at lunch and dinner peaks. Compounds with trip frequency on the items that pull traffic.

Top line · Trip-driver
Lever 03

Daypart inventory turn. Faster turn at the daypart level. Less working capital tied up in fresh, less waste at the back of store, more flexibility on the commissary.

Working capital

Win lunch. Without the shrink.

One banner. 30 days. A real shrink, in-stock, and sales lift number on your board against your own pre-period baseline.

Book a c-store demo