Wholesale Inventory is Broken

You rely on your ERP to help you manage inventory, and that works fairly well for high-demand, predictable SKUs. But did you know that your ERP does not effectively manage low-selling SKUs that only move a handful per year? These SKUs cause up to 90% of your dead stock.

Over time, many slow-moving SKUs stop selling altogether, turning into dead stock and lowering your inventory turns.

We have the AI technology, Thermostock, to help you monitor recent sales activity for every SKU – not just high-volume SKUs. It automatically optimizes the stocking levels of all of them for peak profitability.

The return? Our data shows we can reduce dead stock by 46% in as quickly as four months.

The buying quantities and stocking levels in your purchasing systems are only as good as your forecasts. When large changes occur in sales – up or down – it takes your purchasing system 4-6 months to adjust to the new level of sales, resulting in lost sales or unneeded inventory. Sound familiar?

Four to six months is far too long, so we created an AI technology, Tiltmeter, to monitor the sale of each SKU to sense when an unprecedented change has occurred. It notifies your operations and buying teams that your purchasing system might need to be adjusted, allowing for faster response (1-2 months instead of 4-6) and decreasing stockouts and dead stock.

Tiltmeter also addresses a drastic change in supply by detecting when a key supplier is shipping much later or faster than normal. It sends a revised lead-time number to help ensure you have what you need in stock, while automatically adjusting the lead time in your ERP.