Eighteen years running a Circle K floor. This is what the era of AI looks like from the front lines, in the words of Néstor Fuentes, regional manager at Circle K Mexico

LESS STOCK-OUTS
Fewer stock-outs across Arkham-enabled stores.
AVERAGE TICKET
Higher average ticket through pricing and promotion.
ROI
Return on investment reported by Circle K.
WHAT WE BUILT TOGETHER
More than ten use cases in production. Every day, thousands of managers and supervisors act on store-specific recommendations, right from their phones. Not another report to read, a decision they can make now.
01
One intelligence layer across Circle K's entire network. Every supplier, every SKU, 1,165 stores read as one system, so every team decides from the same truth.
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02
Demand forecast at SKU and store level, inter-store transfers and CEDIS replenishment, plus the lost sale a stock-out would have cost, surfaced before it happens, not after.
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IN THE PRESS
THE METHODOLOGY
Our AI Transformation Blueprint connects every corner of the retail operation.
From the C-suite to the store floor, we map your core challenges and ship real solutions. The groundwork for everything that comes next.
MORE OF WHAT IS LIVE
Every tool here answers a question someone actually had. A real person, a real deadline, a real problem, and the moment Arkham gave them a way to act on it. The list keeps growing because the questions do.
Month to date against budget and prior year at every level of the hierarchy, delivered as Excel, PDF or a dashboard. The most used feature on the platform.
Isolate performance by shift to detect staffing gaps, execution failures, and revenue leakage during specific time windows.
Identify stores where products have stock but aren't scanned during peak hours. Detect if associate assignments correlate with sales drops.
Track newly opened stores from day one: monthly accumulations, daily breakdowns with zero-fill, YTD performance.
A live view of where the month will close at the current run rate, broken out by region and category, against budget and last year, and updated as the month moves.
Every store measured against a pre-event baseline, daily, for the length of a campaign. Built once for the World Cup, reusable for anything.