Parcel Optimization for Better Customer Satisfaction in Retail

Our client — a leading company in shipping beauty products to customers — was receiving several complaints from customers about under-filled parcels with significant void space. The client was looking for a solution to optimize parcel types to improve fill rates. Their objectives were to improve fill rates of parcels, enhance customer satisfaction by reducing void spaces and thereby the enterprise's environmental footprint, and reduce cost of void fill materials.

Using historical order data and taking the company-specific packing procedure into account, we leveraged our self-built advanced AI platform to optimize the parcel dimensions in such a way that the average void space per parcel was minimized. We provided our client with a scalable and efficient analytical tool that determines the optimal parcel sizes and improved fill rates for different parcel types.

More than 10 percentage points increase in average fill rate. Reduced cost of void fill material. Reduced environmental footprint. Improved customer satisfaction achieved through the shipment of products with the right parcel sizes.