
Peapod is a grocery delivery service in the United States which has been expanding fast. It fulfils customer orders from warehouses attached to its stores. This means items can be picked from the warehouse or from the store itself. Picking from the warehouse is quicker and less disruptive for customers in store. They wanted to optimise product placement within the warehouse to increase efficiency and reduce the number of products which needed to be picked from the store. It contracted Haskoning’s Supply Chain and Logistics team to provide a solution.
Grocery retailing is subject to many regulations - from food safety and quality assurance to occupational health and safety requirements. For example, heavy items have to be placed on lower shelves and, to avoid contamination, fresh meat cannot be placed above other items. These business rules, together with Peapod’s own specifications, needed to be incorporated into the model. In addition, Peapod wanted the model to present the ideal product placement as well as the best arrangement of slots, specifying the height and number of shelves in a bay.
This solution helps with ensuring that business rules are adhered to in a uniform way. Now over 40 business rules are automatically factored into Podslotter, which saves time and ensures consistent execution.
The platform developed by Haskoning provides a dynamic solution enabling the client to produce an optimal slotting plan on a weekly basis, aligned with changes in products and demand. It also provides solutions during twice-yearly reviews of shelving arrangements and produces layouts for new warehouses. Customised to meet precise needs, it has a user-friendly interface enabling updates to products and business rules can all be made in house.
The system we developed has delivered tremendous value for the client, increasing the ease and efficiency of picking while boosting customer satisfaction.