All agents · Ecommerce and retail
Merchandising Recommendations
BetaBundle, placement, and promotion ideas based on product totals and frequently-bought-together pairs computed from your sales export.
How it works
Upload a sales or order-line export (product plus units/revenue, ideally with an order ID). Totals, top and slow sellers, and product pairs bought together are computed in code; recommendations must name real products from the data and use only computed figures.
What you give it
- .csv order lines or product sales
- Optional goals
Limitations
- Draft for human review. Facts, numbers, and claims must match your material; flagged items need checking before use.
- Product pairs need an order ID column and at least 2 shared orders.
- Doesn't know margins, stock, or seasonality unless you describe them in the goals.
- Does not change your store.