Tracking the quality of product for QSR's is time consuming and expensive with secret shoppers and employees traveling around stores. It also can only give you a snapshot of the quality at that moment in time. Dayhuff is using IBM's IBM Watson and Dayhuff Quality Analyze to measure the quality of the products as they are being produced and grading them according to company standards.
Resource planning in QSR has a large impact on profitability. Knowing the number of people to have staffed for the number of customer and the amount of food to stock is a complex operation. Using spreadsheets or filling out a chart lends little additional value to the planning process. Watson draws on multiple sources to help in the planning. Watson can review the bookings, weather, local events and seasonal anomalies to give the best picture for planning.
Success through information
Traditional the QSR industrys' back office technology, provides rudimentary reporting on POS data and resource planning. Today’s operation need to include external information sources to stay ahead of the competition. Weather data adds an element of planning that can reduce costs in resources, increase sales of targeted products during specific events, ensure delivery of supplies and add color to historical reporting. Combining marketing activities data with POS and supply data and can help to identify cross sell opportunities and shed light on potential new marketing activities with greater margin. Customer sentiment information can identify regional trends and allow for identification of new promotions.
- Leverage detailed POS data to identify multi-year trends
- Weather forecasts with historical sales data to disruption in supply channels
- Planning Analytics for P&L simulation and calculation
Download the fact sheet on how Watson is being leveraged to track QSR quality.