Returns Reduction Programme

A return is a sale you have already paid for twice — the work is to stop causing them, not to process them faster.

What it is

The returns problem handled as a product and merchandising fault, not a logistics one: coded reason read against free text, rate against the right denominator, the SKUs carrying the number isolated, causes sorted into four families with four owners, fixes sequenced cheapest first, the withdrawal decision priced, and every result read by dispatch cohort so a seasonal swing is never banked as a win. For ecommerce owners, merchandisers and operations leads whose margin is being refunded back out.

What you receive

fewer returns rather than smoother ones — the reasons read at product level against what customers actually wrote, the causes sorted into expectation, fit, quality and logistics with one owner each, the fixes sequenced by cost against expected effect, the products marked for withdrawal with the arithmetic that condemns them, and the cohort measurement that proves the rate moved rather than the month

Delivered as a single, complete .md skill file — open it, paste it into any capable chat model, and work. No installation, no account with anyone but us.

Supported models

• Claude (Opus/Sonnet)
• ChatGPT (GPT-4o/5)
• Gemini
• any capable chat model

People reach for it when

• “how to reduce ecommerce returns without changing my returns policy”
• “my return rate is 40 percent on one product what do i do”
• “work out the true cost of a return per order”
• “customers keep saying not as described how do i fix the product page”
• “should i stop selling a product with a high return rate”

Record

In the collection. The sale room is being fitted; this work goes on sale when it opens.

License

Free-shelf works ship under the DolceDrago House License — use the outputs freely, personal or commercial; the work file itself stays with the house.