Victor Hart
3 episodes

Questions Victor Hart answered
The sequence depends on the business. Brick-and-mortar retailers often begin at the macro level with floor plans and equipment, while suppliers creating planograms only for their allocated shelf space may begin at the micro level.
Webinar: How to Eliminate Revenue Loss from Missing Items34:44
Victor recommends a separate contextual demonstration because the planogram workflow depends on the retailer's products, equipment, business model and desired automation rules.
Webinar: How to Eliminate Revenue Loss from Missing Items41:49
Automation reduces manual calculations and inconsistent store-level practices, freeing users to focus on analytics, exceptions, supplier failures, and other strategic priorities.
How AI Fixes Inventory, Fresh Waste & Stockouts in Convenience Retail41:56
The fastest inventory benefit depends on the retailer’s starting position: overstocked businesses may first reduce inventory and waste, while availability-constrained businesses may add stock to reduce lost sales. Labor savings from automation are common in either scenario.
How AI Fixes Inventory, Fresh Waste & Stockouts in Convenience Retail46:00
In Victor Hart's words
“The tricky thing about assortment problems is that they're invisible. You never get an alert saying you just lost a sale. Dead stocks will show up on a report, but the missing demand doesn't.”
Webinar: How to Eliminate Revenue Loss from Missing Items8:13
“We want to give them a system that does the analysis continuously, automatically, and in line with your actual financial strategy.”
Webinar: How to Eliminate Revenue Loss from Missing Items9:13
“The vast majority of our ordering is going to be automated, which frees up a lot of time for our users to be a bit more strategic and focus in on exceptions within their supply chain.”
How AI Fixes Inventory, Fresh Waste & Stockouts in Convenience Retail20:31
“Machine learning is really about the data and the accuracy of the data.”
Demand Planning and Forecasting with AI: How Retailers Boost Profits Using Machine Learning1:06
“Based on our experience, success is heavily dependent on the data and the accuracy of the data.”
Demand Planning and Forecasting with AI: How Retailers Boost Profits Using Machine Learning1:06

