Less stockouts. Less excess. More money in circulation.
invent.sale shows where you lose sales due to stockouts and where money is frozen in excess inventory.
Sound familiar?
Warehouse overloaded — money frozen
Capital is tied up in excess stock that doesn't sell.
Empty shelves — lost sales
Customers leave without buying because the product isn't there.
Orders by gut feeling — stockouts or excess
Without data, every order is a gamble.
Write-offs growing
Expired and obsolete products eat into your margin.
Prices and markdowns are late
By the time you discount, the opportunity is already gone.
What's inside the platform
Idle inventory
Finds excess stock and calculates frozen capital per SKU.
Demand forecast
7–30 day plan with range: conservative, baseline, optimistic.
Price suggestions
Recommends markdowns where they free up cash and recover sales.
Action plan
Every morning — a task list for purchasing, markdowns, and transfers.
One KPI screen
Revenue, margin, turnover, and write-offs — by network and by store.
For any trade format
AI platform adapts to your industry specifics
Retail & E-commerce
Inventory optimization for retail chains, supermarkets, and e-commerce. Reduce stockouts by 30%, free capital from dead stock, and get AI-powered purchase recommendations for every SKU.
Pharmacy Chains
Specialized for perishable retail: expiry control, dead stock detection across all locations, ABC analysis by margin contribution, and markdown recommendations for slow movers.
Wholesale & Distribution
Multi-warehouse demand forecasting, cross-client demand analysis, supplier lead time optimization, and automated replenishment for distributors with 10K+ SKUs.
Solutions for every role
Buyer
AI generates purchase orders based on forecast, seasonality, and supplier lead times.
Ready orders instead of Excel
Commercial Director
All KPIs on one screen — by store, by category, by supplier.
Network under control
CFO
See frozen capital, turnover, write-off risk — in dollars, not units.
Inventory finances in money
CEO
Chat with AI analyst — ask questions about any store, category, or trend.
Control without micromanagement
Results after implementation
10–15 hours per week on manual orders
2–3 hours with AI-generated orders
Excess inventory unknown, growing silently
Every dead SKU identified with action plan
Write-offs growing, causes unclear
Root cause analysis + expiration alerts
Each store orders independently, no coordination
Unified AI forecast + automated replenishment rules
From data to actions
Connect
1C, MoySklad, Excel, WB, Ozon
AI calculates
Forecast, dead stock, prices
Take action
Buy, markdown, redistribute
Results in 90 days
1 warehouse · 8,000 SKU · 120 clients
The system identified $3.8M frozen in components with expiring lifecycles. AI forecasting adjusted procurement to actual client demand.
−61% excess → $3.8M freed in 90 days
9 pharmacies · 12,000 SKU
59% of inventory turned out to be dead stock. The 4-criteria filter separated truly frozen products from seasonal patterns. Marking down 884 SKUs recovered working capital.
−40% write-offs, critical stockouts halved
6 stores · 2 warehouses · 2,000 SKU
Seasonality is the core challenge in fashion: collections go stale in 8–12 weeks. AI seasonality classification identified precise markdown windows for each category.
Turnover 64 → 41 days, write-offs −59%
How much are you losing on inventory right now?
Free audit in 15 minutes. Connect your data in 1 day. No obligations.
See your losses