Optimize for the optimal production plan to maximize revenue, reduce OpEx and optimize sustainability while honoring your sales forecast and time to market constraints.
DeepVu's production planning solutions handle the data complexities that exist from multiple SKUs and production lines, thousands of suppliers, many material-IDs, labor rates, port congestions and varying reliability including external signals such as commodity prices, weather, macro-economic signals, and satellite images of ports and parking lots.
Our production optimization solution offers decision models to recommend factory schedules to optimize directly for the customer KPIs. Our solution is built on top of a simulation framework that includes simulating shock events such as COVID, and port congestions etc, and recommends actions (schedules, purchasing decisions, etc) that are based on multiple AI agents, one trained on a normal environment, and others trained on various shock scenarios. The user can choose amongst the various decision recommendations, while seeing the impact on the KPIs.
AI decision model for scheduling SKUs and labor to production lines and shifts
AI decision model for deciding safety stock per material-id/part-number
AI decision model for recommending actions to optimize yield
Move faster and save time by always having relevant, real-time intelligence for decision making.
Deep learning continuously improves over time and dynamically adapts to your growing business.
AI automates processes and analytics enabling you to focus on customer satisfaction.