Connection beats volume.
The bottleneck isn’t how much data you have — it’s whether it’s connected at the granularity a decision actually needs.
Solya is the AI-native decision platform for retail. We close the gap between the knowledge that lives in retail teams and the actions that happen in operational systems — by treating decisions, data and execution as one continuous loop.
Every retailer runs a dozen systems that each describe the same business with different numbers, and a small army of analysts who spend their week reconciling the two. The decision — what to buy, where to send it, when to discount it — still happens between spreadsheets, instinct and a Friday meeting.
The bottleneck isn’t how much data you have — it’s whether it’s connected at the granularity a decision actually needs.
Retail rules — coverage, MOQ, exchange windows, never-out-of-stock — are knowledge, not code. The product must let teams encode it, version it, and trust it.
Recommendation, approval, execution and feedback belong on the same surface. Anything else turns into a copy-paste tax.
Numbers from active deployments, refreshed continuously.
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Stores connected
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Retail networks live
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SKUs under management
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Active use cases
Three calls we’re comfortable defending in writing.
Buying, allocation, markdown and replenishment stop being weekly meetings. They become continuous decisions, with humans tuning the rules instead of typing in the answers.
The factory setting for retail operations becomes auto-execute on the well-understood, with explicit approval queues for the long tail. The economics of running 50 stores stop scaling with headcount.
The companies that win don’t just sell better — they run on a measurably better operating system. Margin per store-hour becomes a board-level metric.
We’re shipping with a small group of design-partner retailers. If you’re running a network and feel this pain, talk to us.
A 30-minute walkthrough on your own data shape. We’ll show what Solya would decide for your network this week.