24/7 Digital Workforce for Every C-Store
AI vision and agentic automation give every store real-time visibility and next-best actions across operations and customer experience. They flag issues, recommend fixes, and automate routine tasks—with guardrails and human-in-the-loop approvals. Teams get trustworthy insights from video and operational data to hit—and consistently exceed—their goals.
This was a “how could we” prototype to showcase to executives how AI-Agents combined with AI-Visioning can drastically improve operations, and by extension, the customer experience.
The Challenge:
Thin margins, variable labor, and inconsistent execution make it hard to sustain fast checkout, accurate inventory, clean facilities, and compliant merchandising at scale. Without continuous visibility, managers react late to queues, out-of-stocks, shrinkage, and missed fuel-to-store conversion.
Exploring AI Capabilities:
Agentic AI continuously observes store processes, understands context, and orchestrates the right next step—triggering alerts, creating tasks, or auto-resolving via connected systems (POS, cameras, refrigeration, workforce tools). It reinforces best practices with store-level benchmarking and closed-loop workflows so fixes actually happen. Guardrails keep people in control: high-impact actions require approval, and every decision is auditable.
Entry‑to‑Exit Speed & Queue Control
We measure how quickly guests move from the door to the till and where they get delayed, so stores can fix bottlenecks before they cost sales. The system detects long or abandoned lines, nudges guests to mobile checkout when available, and automatically tells staff to open/register coverage to keep lines short.
Metrics Focus:
Higher conversion and more sales
Better customer satisfaction and repeat visits
Smarter labor use
GNFR “Control Tower”
A simple control tower that tracks cleaning supplies, cups, paper goods and other GNFR stock in real time against PAR (target on-hand level) levels and budget. It flags low items, suggests auto-reorders within approved limits, and explains spend variances so stores don’t run out or overspend. The result: fewer emergency runs, lower waste, and predictable GNFR spend.
Metrics Focus:
Lower GNFR waste
Fewer emergency store runs
Better fraud control
Predictable monthly spend
Right‑People, Right‑Time Workforce Orchestrator
This system combines short-interval demand forecasting with live video and store systems to spot queues, predict where and when staff will be needed, and automatically assign and confirm tasks. The result: faster service at peak times, fewer lost sales, and less manual coordination for managers.
Metrics Focus:
Faster service = higher conversion
Lower labor cost through precise staffing
Associate productivity and morale
Schedule adherence
Safety & Cleanliness SLA Guardian
The system watches floors and restrooms to spot spills, overflowing trash, and long restroom lines — then verifies that cleaning tasks are completed on time. It creates simple proof-of-work (photos + time-to-resolve) so managers have audit-ready records and incidents are closed faster. The result: safer stores, more consistent guest experience, and lower liability.
Metrics Focus:
Fewer safety claims and lower liability
Consistent brand standards
Fair workload for associates
Audit-ready records
“Find‑It‑Fast” & Assisted Recovery
Find-It-Fast spots when a shopper is having trouble finding an item and quickly triggers help or an in-app route to the shelf. It turns frustrating searches into friendly, timely service so customers leave with what they came for.
Metrics Focus:
Fewer walk-aways, revenue increase
Better customer experience through timely, helpful service
Data to improve planograms
Higher conversion and higher NPS from mission-driven shoppers
Forecourt to C‑Store Funnel & Offer Engine
We measure how many fuel customers come into the store and which offers (e.g., coffee with a morning fill-up) actually drive those visits. The system tests simple offers, measures the lift, and recommends the best promos and staff actions to turn more pump trips into purchases.
Metrics Focus:
Higher attachment per fuel customer
Clear ROI on forecourt signage
Better local targeting
Smarter use of the forecourt as promotional media
Real‑Time Shelf Detection
We use cameras and store systems to keep shelves stocked and deliveries processed quickly. The system predicts out-of-stocks, spots shelf gaps in real time, and guides associates on the fastest restock path so popular items stay available.
Metrics Focus:
Fewer out-of-stocks on top sellers
Faster time-to-shelf after deliveries
Clear vendor accountability
Better labor productivity
Loss Prevention & Exception Coaching
We automatically spot suspicious checkout and in-aisle behaviors by matching video to POS exceptions — but never using facial recognition. The system surfaces only clear, evidence-backed exceptions and provides respectful coaching cues so shrink falls while store culture stays positive.
Metrics Focus:
Reduce shrink
Faster investigations and higher recovery
Fewer false positives for managers to handle
Planogram Performance & AI Optimizer
We automatically check shelves and shopper interactions to see which products and placements actually drive purchases. The system spots gaps and wrong facings, suggests small placement tests, telling you which moves increase sales — so space decisions are based on real results, not guesswork.
Metrics Focus:
Treats shelf space like revenue-generating inventory
Higher shelf productivity
Faster, cheaper resets and audits through vision-verified checks
Recommendations for vendor and promotion
Store Flow Heatmaps & POP Conversion
We map how customers move through the store and measure whether displays (endcaps/POP) turn foot traffic into purchases. The system recommends small layout or signage changes, runs quick tests, and reports the lift so you know what actually works.
Metrics Focus:
Measure ROI for every display and sign
Higher dwell where it drives sales
Replicate successful layouts across stores
Better promotion outcomes
