invent.sale shows where you lose sales from missing products and where cash is frozen in excess inventory.
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Some products haven't sold in weeks or months
Product is "in the system" but not at the right location on the right day
Planning without forecasts or replenishment rules
Losses from expiry, spoilage, and purchasing errors
Margins shrink while products become dead stock
10–15 hours per week on orders in Excel
One screen and 2–3 hours on decisions: what to order, markdown, or transfer
Excess stock exists, but unclear where and how much cash is frozen
List of non-moving items + frozen capital amount + action plan per SKU
Write-offs growing, root causes unclear
Control over causes, expiry dates, categories, and locations + early warnings
Each store orders its own way — stockouts and warehouse overload
Unified forecast and replenishment rules across the chain + inter-store transfers
1C, MoySklad, Excel, WB, Ozon. Data quality check — automatic.
15–60 minDemand forecast, dead stock, optimal prices. Learns from your data.
AutomaticOrder, markdown, redistribute. Specific decisions with $ impact.
Every dayReduce excess inventory and stockouts, speed up ordering.
+$4.6M capital freed in 90 days through inventory optimization and write-off reduction
Reduce on-shelf stockouts and write-off losses, stabilize deliveries.
Revenue growth from on-shelf availability and reduced losses from write-offs and excess inventory
Fewer expiry write-offs, less frozen inventory, stable availability of top items.
Reduced expiry losses and improved availability of top items for customers
Results depend on data quality, supply chain, promotions, and assortment. We'll calculate the effect for your SKUs and locations at the audit.
For small chains starting optimization
For growing networks
For large networks and enterprise
For networks with 50+ stores — custom pricing.
