Improve supply chain agility and quick-response capabilities. Add short-term precision to long-term planning efforts.
Elevate customer service levels
Maintain a customer-centric view of the market.
Effectively balance inventory
Optimally allocate inventory among multi-echelon supply chain points.
Reduce latency between planning and actual supply chain activity.
Demand sensing is the translation of market-based demand information to detect short-term buying patterns. See short-term forecast accuracy improve by up to 30% or more using demand sensing, compared to traditional time-series forecasting.
Model and analyze
Model the impact of promotions, weather, market share and other factors on your forecasts. Gain insight into real-time market needs and improve service and product offerings.
Precise daily forecasts that use machine learning-based methods provide the ability to sense and respond to demand changes to meet the pressure of customer service requirements.
Ensure stock is available at the right location. Leverage production to meet changes in demand or short-term fulfillment requirements.
Identify demand trends, provide early warnings of product or service issues, and remove latency between the plan and what is really happening in the supply chain.
Get insight into competitive positioning using machine learning and natural language processing to evaluate social media sentiment to improve forecast accuracy.