About
Knix, a trailblazer in the intimate apparel industry, renowned for its commitment to inclusivity and innovation, has transformed its inventory management with Toolio. This collaboration has streamlined Knix’s assortment planning, reducing excess inventory and boosting sell-through rates through Toolio's advanced analytics. The move underscores Knix’s dedication to leveraging cutting-edge technology to enhance operational efficiency and meet the unique needs of its diverse customer base, reinforcing its position as a leader in creating comfortable, functional, and innovative undergarments.
Use Cases
Financial Planning
Assortment Planning
Allocation & Replenishment
Reporting & Analytics
Modules
Merchandise Plan
Assortment and Item Planning
Allocation
Reporting
Location
United States
Canada
50%
Time Savings
50%
Stockout Reduction
Improved
Inventory Turnover
Solution
Prior to adopting Toolio, Knix relied on Excel for inventory planning and management, which led to time-consuming tasks and limited visibility into key performance metrics. Brittany Watts, Allocation Analyst at Knix, highlighted the need for a more efficient and data-driven approach to optimize inventory allocation across their retail channels.
Brittany Watts
Allocation Analyst
Overall, I have been very satisfied with Toolio. It has allowed me to make data-driven decisions by creating sell-through reports for specific collections, sell-through history, and store-specific sell-throughs.
A Closer Look at Metrics
Data-Driven Decision Making
Brittany Watts highlights the value of Toolio in enabling informed decision-making, stating, "It has allowed me to make data-driven decisions by creating sell-through reports for specific collections, sell-through history, and store-specific sell-throughs."
Driving Operational Excellence
Toolio's implementation at Knix has not only streamlined their inventory allocation process but also positioned them for continued success in the competitive intimate apparel market. With Toolio's partnership, Knix can confidently make data-driven decisions, optimize inventory levels, and deliver the right products to the right customers at the right time.
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