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Turnover ratios reported in the close describe last quarter's performance. A Turnover Forecasting Playbook reads demand projections, current inventory positions, and product velocity patterns to forecast turnover per SKU and category for the coming quarters, with the variance drivers attributed so finance and supply chain see what is moving the number.
The Challenge
A company-wide turnover ratio averages over thousands of SKUs. Inside that average sit SKUs accelerating sharply and SKUs slowing. The aggregate looks stable while the underlying mix shifts; by the time the change shows up in the headline number, the corrective action window has narrowed.
Working capital decisions get sized on past turnover. When future turnover differs materially from past, the capital allocation runs against the wrong baseline. Either too much capital sits in inventory or too little supports the velocity the business is producing.
Promotions get planned on response rate and demand lift. The turnover impact (and therefore the working capital impact) of accelerated demand on slow-moving SKUs vs already-fast-moving SKUs rarely enters the planning conversation. The promotion mix optimizes one lens and misses another.
How eyko Solves It
A Turnover Forecasting Playbook reads demand projections, current inventory positions, product velocity patterns, planned promotions, and product lifecycle stage to forecast turnover per SKU and category over the next 1, 2, and 4 quarters. It decomposes the variance vs current ratios into contributing drivers, projects working capital impact, and recommends pricing, promotion, and buying actions ranked by turnover and capital impact.
The Playbook forecast turnover across 4,200 SKUs and 18 categories. Aggregate company turnover projects to drop from 6.2 to 5.4 over the next 2 quarters, primarily driven by 184 SKUs whose velocity is slowing as their lifecycle matures. 84 SKUs are accelerating beyond current capacity allocation. Working capital impact: $4.8M tied up by the projected turnover shift if buying patterns continue unchanged.
| Metric | Current | Benchmark | Status |
|---|---|---|---|
| Primary indicator | Flagged | Target | Action needed |
| Secondary indicator | Monitoring | Within range | On track |
| Trend direction | Declining | Stable | Review required |
Turnover Forecasting projects inventory turnover per SKU and category over the next 1, 2, and 4 quarters using demand projections, current inventory positions, product velocity, planned promotions, and lifecycle stage. The Playbook decomposes the variance vs current ratios, projects working capital impact, and recommends pricing, promotion, and buying actions so capital allocation runs on forward turns rather than historical baseline.
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FAQ
Everything you need to know about Turnover Forecast Map.
Turnover Forecasting is an AI-driven projection of inventory turnover per SKU and category over the next 1, 2, and 4 quarters using demand projections, current inventory positions, product velocity, planned promotions, and lifecycle stage. The Playbook decomposes the variance vs current ratios, projects working capital impact, and recommends pricing, promotion, and buying actions so capital allocation runs on forward turns rather than historical baseline.
The Playbook reads from your ERP or sales system (per-SKU velocity, customer cohort breakouts), warehouse system (inventory positions, days of supply), planning system (current buying plans, promotion calendar), product master data (lifecycle stage, BOM, substitute mapping), and finance system (working capital metrics). At least 24 months of paired sales-and-inventory data anchors the projection.
A turnover ratio report describes the past. Turnover Forecasting projects the future ratio with attribution to the SKU and category drivers moving the number. The two are complementary, but forward-looking projection is what lets finance and supply chain adjust buying, pricing, and promotion plans before the working capital impact lands.
Yes. For each driver category the Playbook recommends a specific buying action: cut purchasing on lifecycle-declining SKUs, increase buying on accelerating SKUs to support demand, and run promotions where margin and turnover lift converge to recover slow-mover risk. Each recommendation projects working capital and turnover impact so leadership prioritizes the highest-leverage adjustments.
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