Fulfillment Driven by Data Science
The inVia Optimizer schedules routes for human pickers to decrease the overall travel, increasing the efficiency compared to traditional picking methods. Mathematicians and data scientists have long been struggling with the “Traveling Salesman Problem” (TSP). At inVia Robotics, our team of PhD's have studied this problem in depth to create the inVia Optimizer, a black box of efficiency.
The Future of Picking Optimization
In 1832, a German traveling salesman known only as “one old travelling salesman,” made his mark in the history of mathematics with one simple observation: When one goes on a business trip, one should plan it carefully; by doing so, one can “win” a great deal of time and increase the trip’s “economy.” Two centuries later, mathematicians and data scientists are still struggling with what is now known as the “Traveling Salesman Problem” (TSP). At inVia Robotics, our team of PhD's have studied this problem, and many other algorithms in depth to create the inVia Optimizer, a black box of efficiency.
Deployed in weeks, not months.
ROI in months, not years.
Our mobile robotic warehouse solutions can be deployed and completely paid off before the other guys can even deliver.
We offer a free warehouse consultation and ROI estimate for projects of any size.
Call or click today and start saving tomorrow.