Case Study:
Made-In Cookware
Made In - a fast growing digitally native cookware brand - uses Atomic to automate inventory optimization and replenishment planning.
Atomic enabled Made In to free up team time for higher value strategic work
Automating Planning for the Next Stage
The Challenge
Struggling with a manual procurement & inventory planning process.
"Three activities - getting the supply model, creating POs in NetSuite, and updating vendor forecast - are currently taking 100% of the time of the director of the planning team and the supply planner.
Those are the not the priorities they should be doing. It's just blocking and tackling. We're not having the strategic conversations about improving vendor terms or getting to negative networking capital days."
About Made In Cookware
Made In Cookware is a premium kitchenware brand that delivers professional-grade cooking tools directly to home chefs. Partnering with skilled manufacturers in the US, France, and Italy, Made In offers high-quality stainless steel, non-stick, and carbon steel cookware, as well as kitchen knives and accessories. By cutting out retail middlemen, Made In provides top-tier culinary equipment at competitive prices, empowering home cooks with the tools used by professional chefs.
Business Impact After Onboarding to Atomic
Made In transitioned from indvidual spreadsheets to unified control over their inventory.
From:
Centralized supply planning process and visibility, which reduces the manual effort required to maintain forecasts, purchase orders, and vendor communications.
To:
Ability to track and report on key performance metrics like forecast accuracy and in-stock rate, which were previously difficult to measure.
40+ Hours Per Month Saved
With automated demand simulation and purchase plan generation
Quick access to data
And reporting across all sales channels with automated demand simulation and purchase plan generation which helps provide context and historical perspective during meetings.
Data Quality and Accuracy
Ability to track and report on key performance metrics like forecast accuracy and in-stock rate, which were previously difficult to measure.
