Toolio

About

Stio

Stio is an outdoor lifestyle brand offering functional and versatile apparel, outerwear, and footwear. The company has evolved from a DTC eCommerce business into a multi-channel retailer, including eCommerce, retail, wholesale, outlet, corporate, and closeout. Over the past two years, Stio has doubled its brick-and-mortar presence, expanding to 10 stores, including two outlet locations.

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With the rapid growth of its business, Stio needed a more precise way to manage inventory flow and reduce inefficiencies in stock allocation. By implementing Toolio, Stio was able to cut end-of-season returns by 30%, significantly reducing costly send-backs to its warehouse. This shift to a demand-driven allocation strategy has not only minimized excess inventory handling but also improved sell-through, allowing Stio to keep the right products in the right stores at the right time.

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Use Cases

Allocation & Replenishment

Demand Planning

Inventory Optimization

Modules

Merchandise Planning

Assortment Planning

Allocation

Location

United States

30%

reduction in returns

90%

time savings

Increased

inventory visibility

Solution

From Inefficiency to Optimization

Before Toolio, Stio’s growing complexity in inventory management made Excel-based planning unmanageable, leading to inefficiencies in allocation and excess stock redistribution. Ensuring accurate channel roll-ups, reconciling demand across eCommerce, retail, and wholesale, and quickly responding to changing conditions were becoming increasingly difficult—resulting in costly end-of-season send-backs.

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Toolio provided a centralized, automated solution that eliminated the inefficiencies of manual Excel planning. By aligning allocation with demand and introducing phased allocation strategies, Stio reduced end-of-season returns minimizing excess inventory handling and improving sell-through across channels.

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Amanda Holland

Senior Manager, Retail Planning

“Toolio has gotten me out of Excel, out of time-consuming and mundane tasks, and focused more on strategy and refining my plan. I now have much more confidence in my allocation recommendations.”

A Closer Look at Metrics

30% reduction in returns Optimized allocations and phased replenishment strategies minimized excess inventory, reducing costly returns to the warehouse and improving sell-through.
90% time savings Automating allocations, store clustering and CSV generation through ERP integration, Stio cut processing time from hours to minutes, enabling a sharper focus on strategic decision-making.‍
Increased Inventory Visibility Toolio’s demand-driven allocation ensures that high-performing products are prioritized in replenishment, preventing stockouts and excess inventory.

Data-Driven Decision Making

Prior to Toolio, Stio's allocation strategy was reliant on time-consuming manual docs and static presentation profiles, often leading to inefficiencies. The company used a replenishment model that maintained fixed inventory levels in stores regardless of demand, resulting in excess stock and inefficient distribution.

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With Toolio, Stio now dynamically allocates inventory based on demand, allowing the team to focus on strategic decision-making rather than manual processes. Toolio's integration with Stio’s item plan ensures that stores receive replenishment aligned with actual sales performance rather than arbitrary thresholds. This shift has significantly enhanced inventory visibility and control, reducing stockouts and overages.

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Driving Operational Excellence

As Stio continues to scale, Toolio remains a critical part of its operational strategy. The platform has helped the company refine allocation processes, improve in-season inventory management, and enhance overall decision-making.

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By leveraging Toolio, Stio has transformed its inventory management, ensuring that its stores are stocked with the right products at the right time while minimizing operational inefficiencies. The strategic shift from manual allocation to automated, demand-driven processes has positioned Stio for continued success in a highly competitive retail landscape.

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Read more customer stories

Magnolia Boosts Efficiency by 30% & Reduces Stockouts with Toolio

Magnolia, a leader in curated home goods and design, has transformed its inventory management with Toolio. By leveraging Toolio’s advanced planning capabilities, Magnolia has streamlined operations, reducing inventory planning time from 15 hours per week to 5 hours. This strategic shift enables the team to make agile, data-driven decisions, optimize stock levels, and improve financial performance. With features like demand forecasting and enhanced collaboration, Magnolia ensures its inventory strategy remains efficient and customer-centric.

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"Being able to see a forward forecast has been especially beneficial in reacting to sales trends and staying in stock on items that are overperforming." - Craig Smith, Senior Merchandise Planner

How Stio Cut Returns by 30% and Transformed Inventory Allocation

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mnml Reduces Inventory by 40% Through Real-Time Visibility

mnml is a contemporary fashion brand specializing in high-quality, minimalist streetwear. Before implementing Toolio, their inventory management relied heavily on Excel and Qlik View, making it difficult to optimize stock levels and react dynamically to demand shifts. The lack of real-time visibility led to excess inventory buildup, tying up working capital and limiting agility.

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Since adopting Toolio, mnml has achieved a 40% reduction in on-hand inventory, significantly improving cash flow while maintaining in-stock availability for key products. With more accurate demand forecasting and real-time insights, mnml has minimized overstock, reduced inefficiencies, and gained greater control over its inventory strategy.

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‍“I’ve been extremely happy with Toolio. The tool has made it much easier to visualize and act on our inventory data.” — Tyler Tasso, Planning Manager, mnml

How Boll & Branch Reduced Inventory by 30% with Smarter Planning and Forecasting

Boll & Branch, a leader in sustainable luxury bedding, has transformed its inventory planning and forecasting with a more structured, data-driven approach. As the company scaled, relying on Excel for planning became a major bottleneck—files crashed, visibility was limited, and adapting to demand shifts was slow. By embracing a more modern planning solution, Boll & Branch streamlined workflows, improved forecasting accuracy, and gained the agility needed to support its rapid growth.

Hunter Bell's Journey to Efficient Inventory Management with Toolio

Hunter Bell, a celebrated fashion brand renowned for its feminine silhouettes and vibrant use of color, has revolutionized its inventory planning and management strategy since adopting Toolio's integrated solution. By leveraging Toolio's advanced features and data-driven insights, Hunter Bell has significantly enhanced its inventory efficiency, minimized stockouts and dead stock, and elevated its overall business performance. This strategic move has not only bolstered Hunter Bell's operational agility but has also amplified its commitment to quality and craftsmanship, reinforcing its status as a leader in contemporary women's fashion.

How Kindred Bravely Optimized Inventory and Boosted Efficiency with Toolio

Kindred Bravely is a leading maternity and nursing apparel company dedicated to providing comfortable, functional, and stylish clothing for moms. Founded in 2015 by Deeanne Akerson and Garret Akerson, the company has grown significantly, offering a wide range of high-quality products to support moms through all stages of motherhood. As the business expanded, Kindred Bravely recognized the need to optimize its inventory management practices. By implementing Toolio, the company has transformed its approach, leveraging demand forecasting and inventory visibility features to reduce overstock, improve decision-making, and achieve remarkable results.