3PL Match

What the Organization asks for before its AI team starts work.

The business

Mere & Moss. DTC homeware, 3,400 orders a month, peaks at 6,100 in December.

What we need

A new fulfilment provider. Current 3PL is not coping with oversize items.

Order profile

2.4 lines per order average, 19 percent of orders contain an oversize item, 340 SKUs

Geography

UK fulfilment, UK and EU delivery

Integration

Shopify plus a 3PL app

What we have

Two quotes that look 30 percent apart and we cannot tell why

Returns

8.5 percent

Timeframe

Want to move before next peak. Decision in six weeks.

Attached by the buyer.

• Twelve months of orders, line level (CSV, 41,000 rows)
• The two quotes with terms attached (PDF)
• SKU list with dimensions and weights (XLSX)

1. Buyer submits lanes, products, shipment volumes, service expectations and current pain points.
2. Requirements agent creates an operational scorecard.
3. Provider agent identifies suitable logistics companies.
4. Commercial agent normalizes rate structures where sufficient data exists.
5. Risk agent highlights service dependencies and questions before contracting.

• Logistics brief
• Provider shortlist
• Service coverage comparison
• Commercial structure comparison
• Integration/operational fit
• Surcharges and exclusions to verify
• Risk questions
• Recommended next-step conversations