VeriPark developed an In-Store Picking application for Gima with VeriPark In-Store Picking and Home-Delivery Solution. VeriPark In-Store Picking and Home-Delivery Solution allows orders from Gima’s e-commerce solution MS Commerce Server to be dispatched to local stores for pick up and delivery. Once the order is assigned to a store for delivery, it automates order fulfillment process in four modules:

In-Store Picking : It routes to the shortest path in Gima store by product shelf, product group, product and aisle layout. It suggests alternative products for missing items based on customer preferences and supports bar codes for picking.
Transfer : Orders are appointed to the appropriate vehicle based on the volume, vehicle space and route of delivery.
Delivery : Vehicle mileage, delivery time, returned and updated items are updated in hand held terminals. Terminals are attached to portable printers to print updated invoices.
Completion / Reconciliation : Delivery data, returned items and collected payments are controlled when the delivery team returned to the store.

Each phase in the process is automated through wireless hand-held terminals integrated with the Microsoft Commerce Server. Order pick-up is done through barcode scanning. For missing items customer preferences are displayed in the terminal and errors are greatly minimized. The terminals work wireless in Gima local stores.

VeriPark In-Store Picking and Home-Delivery Solution is integrated with Microsoft Commerce Server and uses .NET technologies, such as web services. Three main modules in the application are MS Commerce Server integration, a web application for administrative tasks, and a windows CE application for order picking and administrative tasks. Some of the administrative screens in the web application can be used on Windows CE machines with .NET mobile controls.

In-Store Picking application enables Gima timely and accurate order delivery and results in increased customer satisfaction and reduces operational costs. Timely delivery and elimination of picking errors, with alternate product suggestion features, makes sure the maximum customer payment is received in each order. Elimination of manual data entry and entry errors shortens the in-store picking and delivery cycles and increases operational efficiency.