Toolio

About

Magnolia

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

Use Cases

Forecasting & Replenishment

Demand Planning

Inventory Optimization

Modules

Merchandise Planning

Demand Forecasting

Location

United States

20-30%

total efficiency gains

67%

decrease in planning time

Improved

inventory turnover

Solution

Smarter, Faster Inventory Planning

Before Toolio, Magnolia managed their inventory across multiple platforms - Excel, Domo, and NetSuite - creating complexity in their planning processes. Toolio provided a unified solution that enabled a fundamental shift in how they approach inventory management:

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"We now can better quantify missed sales due to over-selling or late deliveries. This allows us to communicate the impact to vendors and executives so we can take the necessary actions."

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The platform's flexibility in filtering and sorting key attributes has significantly reduced the time needed for detailed analysis, allowing for faster, more informed decisions.

Craig Smith

Senior Merchandise Planner

"Toolio has helped identify over/underperformers and allowed us to make faster decisions, reducing stockouts and improving inventory health."

A Closer Look at Metrics

30% Efficiency Gains, reducing inventory planning workload from 15 hours per week to 5 hours by leveraging automated workflows, streamlining operations, and improving team productivity.
Enhanced data-driven insights through increased visibility into inventory performance, proactively adjusting inventory, reducing inefficiencies and improving decision-making.
Demand forecasting accuracy restocks more efficiently and minimizes stockouts, leading to higher customer satisfaction and better alignment with demand trends.
Seamless collaboration by providing easy access to shared inventory data, ensuring alignment and faster decision-making.
Strategic ordering through moving from bulk ordering to demand-aligned purchasing, optimizing cash flow and working capital while maintaining stock availability.

Data-Driven Decision Making

Magnolia has enhanced its inventory strategy with data-driven insights, leveraging enhanced visibility into stock performance to make proactive inventory adjustments.

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With real-time access to key metrics, the team can quickly identify over- and underperforming products, ensuring the right inventory levels to meet customer demand. By using automated workflows and advanced forecasting, Magnolia can restock efficiently, minimize stockouts, and improve overall inventory health. This data-backed approach has led to better decision-making, improved cash flow, and increased customer satisfaction.

Driving Operational Excellence

Toolio’s integration has transformed Magnolia’s inventory management, allowing the company to stay ahead of market shifts with agility. By improving forecasting, stock optimization, and collaboration, Magnolia has unlocked greater efficiency and financial growth. With a more proactive approach to inventory planning, Magnolia ensures it remains competitive in today’s fast-paced retail environment.

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Craig summed it up: "My overall experience has been very good. Toolio has been well thought out and easy to train others and get them using the tool very quickly."

Read more customer stories

Magnolia Boosts Efficiency by 30% & Reduces Stockouts with Toolio

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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

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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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.