Current order management systems are usually single channel focused, not designed for growth and often encounter situations where the systems end up taking on too many things all at once thereby slowing down order processing and management.
Goals and Objectives
Increase omnichannel sales/profitability, improve service and reduce costs.
Cloud, IOT, Prescriptive trade-off analytics, AI, and blockchain.
Use Case Summary
Use real-time, context-aware analytics and curated network data to anticipate and balance direct to guest/passenger and restaurant bound order fulfillment to meet guest service level at lower cost to serve.