Bots

Use RPA to gather data on stock levels from various sources such as POS systems, warehouse management systems, and supplier invoices. This data can then be used to automatically update inventory records when items are sold or restocked, helping to keep track of stock levels in real-time. This automation helps retailers prevent or limit “stock-out” […]

Use RPA to gather data on past labor needs for the store location from various sources.

Use RPA to gather data on staff availability, store traffic patterns and other relevant data from relevant systems. AI would then use this data to create schedules that maximize efficiency, considering factors such as labor laws, staff preferences and store traffic patterns. The intelligent automation can also provide alerts to store managers to update schedules

Automate the process of monitoring customer behaviors or employee behaviors such as cashiers, and alerting staff to potential incidents. Use RPA to monitor transactions and computer vision AI to monitor camera feeds to continuously monitor the store and gather data. AI/ML is then used to analyze this data as well as transaction data to identify

Use RPA to automatically pull in orders that needs to be fulfilled by third-party shippers like DoorDash, Instacart, Shipt, etc. The bot would then match the orders with the nearest store that has the inventory in stock and schedule the pickup by the shipper through their APIs or website. The bots would also be able

Gather and reconcile data from various sources such as POS systems, inventory mgmt etc.

Use RPA and AI to automate the process of sending Direct Store Delivery (DSD) purchase orders based on stock levels. The automation can then verify the goods received to the order placed. Finally, the automation can reconcile the invoices before payments are made. In addition to that, AI can be used to predict customer demand,