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  • Solya is built as four layers stacked on top of each other — each one does one job, together they form the operating system for your retail decisions.

    01Data LayerConnectPlug in every retail system you already use (ERP, POS, e-commerce, suppliers) and turn the raw events into one clean, shared dataset.→02Intelligence LayerDecideEncode your business rules once. Solya computes traceable decisions — forecasts, markdowns, transfers — that you can override anytime.→03Orchestration LayerActPush those decisions back into your tools — orders to the ERP, prices to the POS, tasks to Slack — with approvals where you need them.→04Application LayerShowRole-specific apps on top — a buyer cockpit, store actions, a planning board — so every team sees the right view of the same data and rules.→
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Operations

Replenishment, allocation, assortment, returns and demand sensing — the operational decision loops.

5 articles

Operations2026-05-12

The retail allocation engine: where the season is actually decided

Initial allocation is the most leveraged decision in retail. Every later replenishment lives inside the box it set — yet most chains still allocate by formula.

Operations2026-04-28

Continuous replenishment vs. the weekly meeting

The weekly replenishment cadence is an artifact of a pre-data era. Every week your team meets to decide is a week the network drifts further from optimal.

Operations2026-04-22

AI assortment planning: the highest-leverage decision in retail

Assortment is set once a season and lives 6–9 months. No in-season tuning recovers a bad pre-season call — which is exactly where most assortment AI fails.

Operations2026-04-20

Retail returns are a feedback signal, not a logistics problem

Most retailers handle returns as a reverse-logistics flow. Treated as a signal feeding allocation and buying, the same returns recover 200–400 bps of margin.

Operations2026-04-17

Demand sensing in retail: forecasting for decision-readiness

Forecast accuracy is the wrong KPI. A 92%-accurate forecast that lands after the replenishment cut-off is worth less than a 78% forecast that lands in time.

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