Measures chrun rate & predicts risk of churn; tracks repeat order possibility, maps to customer complaints, lifetime value, purchase recency.
Track eCommerce Performance, campaign KPIS, product/transaction data, time to purchase, conversion rate, customer purchase trends, email & text subscribers, time spent in stores. Reach better marketing attribution at lower operational cost.
Tracks loss of inventory & attributes it to factors such as employee theft, shoplifting, administrative error, vendor fraud, damage in transit or in store, and cashier errors that benefit the customer.
Helps next generation merchants remove low-value added work - tracks assortments, replinishment, markdowns, pricing, supplier-sourcing; helping consolidate fragmented demand & push out EOL products.
Optimize revenue by ensuring optimal throughput. Monitor, detect and predict production rate changes based on line performance, machine calibration, operator performance, standard work.
Reduce wastage and improve quality. Track process deviations, incorrect material issues, equipment performance, quality excursions. Real-time predictions and alerts for potential out-of-bound occurrences provide a chance to correct and improve yield.
Use ML to determine potential causes of scrap at the factory. Some potential causes arise from ECOs, wrong parts issued, process deviations, specification deviations over planning, operator training, documentation.
Improve equipment effective use by predicting failure and maintenance needs. Continuous monitoring of machine and process performance, quality excursions, maintenance needs increase machine availability for productive use.
