ALBUS- SPECIALIST AI PLATFORM FOR OMNICHANNEL
Our AI platform Albus accelerates insight driven decision making for retail brands through intelligence and unified view of data from multiple data points. It uses machine learning capability to collect data from different retail data points in any format and convert them into actionable intelligence and goal-based algorithm specific to retail problems. It enables getting structured data quickly giving a unified view of data and insights. Albus complements ace turtle’s omni-channel platform Rubicon to execute actionable intelligence, real-time for brands.
Dynamic order allocation
A modern cloud based distributed order management system aggregates orders from multiple order capture channels and provides a single source of information across these channels. Albus dynamically allocate the order for fulfilment to the most optimal stock point – offline retail stores or warehouses.
Dynamic safety stock
Excess order or overselling is a common problem faced by retail brands due to fluctuating supply-demand on same channel or on multiple channels sharing the inventory. The Dynamic Safety Stock of Albus calculates the right level of safety stock required at each SKU level, real-time considering myriad supply-demand and system factors.
Dynamic inventory allocation
Moving from channel specific inventory to shared inventory across channels enables retailers to react to variability of demand. Albus dynamically allocate inventory of a product among online channels based on parameters such as demand, cost of sales, discount, etc. to optimize profit.
Dynamic last mile allocation
Last mile delivery has evolved as one of the key benchmark for brands in terms of customer satisfaction. Albus dynamically allocate last mile for a delivery to optimize cost and speed, while ensuring reliability and performance.
