When retailers come to us to look at our AI-driven lifecycle pricing solutions, the first people we talk with—the “point persons” responsible for overseeing pricing decisions—are usually quick to grasp the real benefits. They’re eternally striving for that ideal markdown “sweet spot” for every SKU—accelerating sell-through while preserving—if not squandering—margin. But without a unified, data-driven markdown strategy, they’re often the first to concede their haphazard, decentralized markdowns are “a mess”.
Video: Lessons Learned From Asian Store Closings
on April 2, 2020
| By Antuit Insights
|
Pricing Analytics,
Video,
Retail,
Artificial Intelligence,
Demand Planning,
Markdown Optimization
As China, South Korea, Singapore, and Taiwan are reopening their stores after COVID-19, what can US fashion retailers learn from their experience and apply to their own business? Unfortunately, there’s some good and bad.
Webinar: Retailers, COVID-19, and the Future – Part 1
on April 1, 2020
| By David Barach
|
Pricing Analytics,
Retail,
Artificial Intelligence,
Demand Planning,
Markdown Optimization
Given the recent sales disruptions and store closings due to COVID-19, David Barach, Vice President of Marketing & Pricing Analytics, provides key elements for retailers to consider in the pricing space during this period to help manage the situation now and prepare for what’s next.
Video: Delivering the Future of AI Merchandising & Planning
on March 6, 2020
| By Antuit Insights
|
Pricing Analytics,
Video,
Retail,
Artificial Intelligence,
Demand Planning,
Markdown Optimization
AI is rapidly disrupting retail & merchandising operations, not only adding productivity but unleashing human innovation and creativity. In this short video presentation, Yogesh Kulkarni and Kaushik Katari, explain how antuit.ai uniquely brings AI solutions to users to solve retail challenges throughout the product lifecycle. Watch the 1-minute summary video.
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