How Much Does a Stockout Actually Cost Your Store?
Most buyers know stockouts are bad. Few have measured the real revenue impact per location, per day. Here is a practical method.
Practical articles on inventory planning, forecasting, and retail operations. Written by the team that builds Stockagile.
Most buyers know stockouts are bad. Few have measured the real revenue impact per location, per day. Here is a practical method.
Running Shopify online alongside three physical locations means your stock truth is split across four systems. Here is how to fix that.
If your supplier takes three weeks to ship, your reorder trigger needs to fire three weeks before you run out. Getting this math right is not complicated.
Automation does not mean removing the buyer. It means the buyer reviews a pre-built list every morning instead of building one from scratch.
A 10-unit average demand across five stores might mean one store is selling out and four are sitting on dead stock. You need the per-location number.
Your ERP, your POS, your ecommerce platform, and your buying tool all need to agree on stock levels. APIs are the only way that actually works at scale.
Safety stock is not a fixed number. It is a function of demand variability and lead time variability. Here is a formula that works for mid-size retailers.
Overstock at season end comes from over-ordering at season start. The fix happens in the buying decision, not the markdown.
The textbook reorder point formula assumes one location and stable demand. Here is how to adapt it when you have six stores and seasonal products.
Shopify knows what sold online. Your POS knows what sold in-store. Making those two numbers match in real time is where most multichannel retailers lose control.
Ordering for a summer peak is a guess without a model. Here is how to use last year's velocity data to build a defensible seasonal order.
You do not need a data science team to forecast demand. You need your sales history, a model that accounts for seasonality, and a daily rhythm.