Utilizing Quantum and AI/ML methods towards optimization use cases in the energy, manufacturing and retail industries

Quantum Based Inventory Schedule Optimization for the Retail Industry

Inventory distortion is costing companies increasingly more money and conventional inventory management tools have failed to address this issue due to the complexity of the problem. Not only do the overstocks tie up capital unnecessarily (and result in decreased margins due to discounting), but the out-of-stocks represent sales that are lost to the competition. Both impact the bottom line, as well as customer perception and ability to respond to challenges

Solution:

We harness quantum-hybrid algorithms to rapidly solve complex problems to find optimal solutions in inventory management.

Results

AI Based Remote Sensing for the Energy Industry

Methane Leaks from a natural gas facility can be up to 3-4% of the total natural gas produced annually.  Continuously monitoring all facility locations and rapidly detecting leaks is an enormous problem. Continuous monitoring could prevent energy companies from paying heavy fines.

Our Solution

1) Methane Leak Detection using AI

2) Optimal sensor data utilization from multi-layered remote sensor data

3) Optimal Sensor Placement

4) Continuous Monitoring

Unique Value Proposition

Accelerator Partners

ZebraKet is a Vector Institute Fast Lane member and participating in the Data Readiness and Model Development program

Executive Team