and 100s more
Hit sell-through targets faster. Allocate new products by demand forecast, store cluster, and launch curve so the right depth lands in each location.
Place enough inventory to meet launch demand while holding flexibility to adjust as real sell-through comes in. Protect against early stockouts and the markdowns.
Minimize missed sales and overstocks on items, even withou sales history. Model expected launch lift to shape allocations for brand-new products,
Control how much inventory ships at launch with 'push all' and 'hold back' options, so you can seed stores and keep depth in reserve to chase winners.
Define and apply sales-lift curves by week or channel to align initial allocations with how a launch actually ramps, not a flat average.
Save default sets for safety stock, order cycle, and sales curves to standardize launch setups and get a new product allocated in minutes, not days.
Knix, a trailblazer in the intimate apparel industry, renowned for its commitment to inclusivity and innovation, has transformed its inventory management with Toolio.
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."
50%
Time Savings
50%
Stockout Reduction
Improved
Inventory Turnover
AKA Brands, a prominent player in the fashion industry known for its portfolio of successful digital native brands, has revolutionized its inventory management strategy and achieved remarkable results since implementing Toolio's integrated inventory management solution.
Stacey Shriefer
Vice President Inventory Planning
“Toolio was instrumental in showing our merchants that they could have 50-75% less SKU count and do the same amount of sales. We expect $5M in cost savings and efficiency gains.”
50-75%
SKU count reduction
$5M
expected cost savings and efficiency gains
5-10
weeks of stock reduction
Weezie Towels, celebrated for its artisanal approach to crafting luxurious, personalized towels, has elevated its inventory management to new heights with Toolio.
Holly Leach
Vice President of Merchandising & Business Development
"After seeing the demo for Toolio, I immediately recognized the bandwidth this system generates. It is extremely intuitive and solves for many of the manual analyses our team was running on a regular basis."
40%
efficiency gains
4%
inventory cost reduction
8x
Return on Investment
Explore More Use Cases
Teams
Allocation Teams
Plan with greater precision, adapt to market shifts instantly, and maximize profitability through advanced retail planning capabilities.
Use Cases
Initial Allocation & Product Launch
Plan and execute product launches with smart allocation strategies that balance demand, timing, and store needs.
Use Cases
Constraint-Based & Exception Allocation
Ensure every allocation meets your business standards, with automatic checks for stockouts, overages, and exceptions.
That's exactly what launch curves and demand forecasts are for. Toolio models expected sell-through from comparable products, store-cluster demand, and the shape of a typical launch ramp — so a new SKU gets the right depth by location on day one, even with zero history. As real sales come in, you adjust with push-and-hold rather than waiting for a full sales record to build.
Toolio includes push and hold settings for flexible inventory distribution, launch curve modeling for demand spikes, and allocation defaults to streamline launch setups.
By using launch curves and forecasts, Toolio models expected sales lifts and shapes allocations to align with real demand patterns.
Yes. Toolio integrates with major ERP, POS, and e-commerce platforms through API, SFTP, or scheduled exports for seamless data flow.
Absolutely. Toolio supports large data volumes, complex hierarchies, and multi-level planning, making it ideal for enterprise retail planning and analysis.
See Toolio In Action
The best way to understand what Toolio could do for your team is to start a conversation.
