As expected, the POC was a success. The bot was able to read the input data from the inventory audit report and classify the records that needed validation using the metrics defined by the business (weekly cost, deviation of inventory, and standard cost deviation).
The data being filtered was easy to read and properly categorized by item and store. Once the planner completed or adjusted the output report, the bot was able to process that output, and send individual emails to each store detailing items in need or recount. The company received a time savings of 87% per process.