Too much stock = tied-up capital; too little = stockout losses. The optimal answer is "just right". SBK uses metrics such as turnover rate, ABC classification, safety stock, overstock identification and stockout alerts to make your inventory strategy precise down to the SKU level.
From a single SKU to the whole warehouse, from health to structure — data helps you optimize capital tie-up
Tally turnover by SKU / category / warehouse to find "dormant stock" and "ultra-fast movers"
Auto-classify into A/B/C by sales amount / frequency — prioritize supply for A-class, slim down C-class
SKUs untouched beyond a preset number of days (e.g. 90) are auto-flagged in red, kicking off clearance decisions
Alert when current stock < safety stock + in-transit, prompting replenishment
Calculate tied-up capital + tie-up days by category to identify the "capital hogs"
Put inventory metrics on a dashboard so warehouse managers and the boss see health daily
Annual Turnover by Category
A product turning over 12 times a year vs 2 times has a 6x difference in capital efficiency. SBK automatically calculates each SKU's turnover (annualized), aggregating by category and warehouse to find the "bottleneck items" dragging down overall efficiency.
Cumulative Sales Contribution
A-class items make up 70% of sales (typically 10% of SKUs) — management precision should be maxed out (frequent counts, strict safety stock); C-class items (10% of sales but 70% of SKUs) get lighter control to avoid wasting resources. SBK auto-sorts into A/B/C by descending sales amount.
Quarterly review of SKUs untouched for 180 days, launching promotions / staff sales / write-offs to recover capital.
Use trailing-12-month average daily outbound + purchase lead time + safety factor to auto-calculate safety stock per SKU.
Seeing an A-class item turn over slowly at one warehouse, transfer it to a faster-turning one to lift overall turnover.
Annual reports disclose "days inventory outstanding" — the dashboard produces the figure directly, and finance delivers it in one click.
Real-time stock data is the foundation of analysis
Stocktake corrections keep stock data accurate, making analysis meaningful
Transfer decisions come directly from inventory analysis conclusions
Inventory turnover influences purchasing cadence and batch decisions
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