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Reflexis Leverages AI Designed To Improve Testing And Staffing Capabilities

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Reflexis Systems, a real-time store operations workforce management solution provider, will offer solutions that leverage AI and machine learning to help retailers improve their operations and execution processes. Specific capabilities include improving the store pilot process (AI Decisions (A/B Testing)), accurately predicting future staffing levels (AI Staff Planner) and leveraging associate skills (AI Performance Manager).

AI Decisions (A/B Testing) simplifies the pilot testing process by applying AI and machine learning models to pilot data sets. This lets retailers accelerate testing times and track performance in real time, and helps them interpret the results and scale test initiatives.

AI Staff Planner, which will be released in Q2 2020, empowers store managers to identify gaps, trends and opportunities in their staffing efforts. The tool uses models to run staffing simulations based on given parameters, including efficiency targets, hiring freezes and associate skills and utilization, and provides AI-influenced scheduling and staffing recommendations to maximize efficiency.

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AI Performance Manager identifies patterns from POS, traffic and workforce data to help managers reward high performance in real time and implement best practice training. The software also helps retailers respond proactively to dips or spikes in store productivity.

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