TCS Optumera™ Self-learning Supply Chain is an AI-powered autonomous platform that helps retailers make integrated merchandising and supply chain decisions through multidimensional concurrent optimization of KPIs in real time
Increase in e-commerce volumes and shipping costs; customer demands for flexible, faster fulfillment at lower cost; and higher levels of volatility are stressing supply chains. This is further compounded by constraints due to legacy systems, inaccurate forecasting, siloed optimization, labor shortage, and port blocks leading to low fill rates. Retailers need to take a proactive, scientific approach to supply chain management; the key is to be able to preempt and respond to change in near real time.
TCS Optumera enables forecasting of omnichannel demand and generation of optimal order quantity
TCS Optumera™ Self-learning Supply Chain enables retailers to make integrated merchandising and supply chain decisions by optimizing KPIs in real time.
Demand forecasting: Intelligent unified forecasting of omnichannel demand with industry-leading higher accuracy at granular store, stock-keeping unit (SKU), and day levels
Intelligent replenishment: Holistic, multidimensional concurrent optimization to generate optimal order quantity while optimizing availability, wastage, and cost-to-serve
Dynamic parameter tuning: Enables strategic and dynamic replenishment planning by concurrent tuning of more than 10 replenishment parameters, and recommends optimal value
Flow smoothening: Predicts and smoothens inbound and outbound movement of products at delivery centers and stores by enabling optimal resourcing decisions for labor, containers, and transport
3-5% increase in sales and margin
3-8% increase in product availability
10-15% reduction in cost-to-serve
5X faster time-to-market
Improved inventory cost savings
Business value acceleration
Positive customer experience