MIE.12 – OjaExpress Picking System

• Grace Hua
• Karen Ma
• Toan Nguyen,
• Sam Zalewski

This project is to develop a simple and standardized picking and ordering process for small cultural grocery store employees when they receive customer orders. A working prototype is required to demonstrate quality control with roughly 95% accuracy of order picking, and to interface with the inventory system. The biggest issue OjaExpress, the online delivery platform, is facing regarding the quality control of their orders is the picking of wrong or no item due to poor inventory communication between OjaExpress and the grocery stores. Our team has developed a system so that every time the grocery store picker picked out an item, their input would update OjaExpress inventory system automatically; naturally the customers are informed if the item they pick is high, low, or out-of-stock right on the spot when they select the item on the OjaExpress website. If the item is high in stock, the system would automatically encourage the customer to pick it by pushing the item to the top of the page, or to the featuring section. In the case of an item that is low-in-stock or out-of-stock, the customer has the option to pick a substitute or inform the system to not pick anything at all and send an electronic coupon to the customer for the respected amount. That being said, the refund requests could be reduced up to 90% using the system described above. The rest of 5% accuracy comes from the color barcoding system we developed to ensure that no item is left behind, and the orders aren’t mixed up. Lastly, time and material handling will be minimized by applying the categorized ordering list and implementing the logic picking path.