Buying in June for six weeks in October

Memory fails in one direction

Ask a toy buyer in June what did well last October and they will name the lines that sold out. Those are memorable because customers asked for them after they were gone.

What nobody recalls with any accuracy is the middle: the lines that sold reasonably at full price, the lines that only moved at 30% off in November, and the lines still in the stockroom. The forgetting is not random. It systematically flatters last season, which is why buying tends to repeat the same mistakes with confidence.

Buy the way you actually buy

Toy buying does not think in SKUs. It thinks in price points and age ranges: something at ₹300 for a five-year-old, something at ₹1,500 for a gift. If the season's data comes back organised by supplier, it answers a question nobody asked.

Categorising by band at the point of entry costs a few seconds per line and makes the post-season review genuinely usable. Categorising by supplier costs the same and produces a report the buyer will read once.

What no amount of history will do

It will not predict a fad. Toy demand turns on a film release, a cartoon, something that spread through a playground in three weeks. No shop's sales history anticipates that, and a buyer who expects the data to tell them what will be big is going to be disappointed every year.

The claim is narrower. History stops the avoidable mistake repeating, which in most shops is a bigger number than the fad they missed.