Retail is one of the industries where analytics can generate the highest value. Among so many transformations and so much growth coming from new sales channels, it has never been more relevant to be able to improve sales forecast and test out different operational scenarios.
There is unprecedented levels of data been generated about the customer, their buying habits and the way they navigate on websites. At brick-and-mortar retail stores the evolution of video analytics is promising; we will soon be able to capture the same type and amount of information available on e-commerce.
DHAUZ can help
We see huge potential in applying predictive, descriptive and video analytics to the retail industry to help companies improve their operations and revenues.
Plan & Market to Customer
Predictive analytics to forecast sales in each category, incorporating explanatory models and sales and promotions calendars
Product segmentation based on attributes to recommend optimized assortment
Multi-channel engagement journey with analytics based triggers
Segmentation models for client behaviors
Marketing mix optimization
Supply to Customer
Optimization modeling applied to building alternative scenarios for operations to contribute to IBP decisions
Analytics models to support intelligent fulfillment order, order prioritization and inventory optimization
Sell to Customer
Video analytics applied for improved visual quality assurance and deviation alerts but also for loss prevention shoplifting mitigation
Retail work force size definition by store location and field force optimization
Optimized replenishment models focused on shelf availability and backroom utilization