LOLA could specify which component SKUs customers could choose from in each type of subscription box using Fuse’s variable BOM feature. As real time sales and OH inventory data synced to Fuse, LOLA relied on Fuse’s proprietary algorithm to calculate demand for component SKUs within, and across, all subscription boxes. The team could now forecast at a much higher level and allow Fuse to do the heavy lifting when it came to calculating demand for each component SKU.
Fuse has helped LOLA spend less time reporting out on inventory and demand on a weekly basis, streamlining some manual processes and data pulls. Daily order recommendations were automatically calculated based on demand, taking into account lead times and WOS targets to make sure LOLA always had the right amount of inventory on hand at any given time.
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As LOLA expanded their product line from organic period to sexual health products, they became a household name. Alongside a rapidly growing customer base, their assortment of custom subscription boxes also increased.
With a rising number of order combinations, forecasting in Excel became much more cumbersome. LOLA’s operation team wanted to decrease the amount of time spent forecasting complex order variations so they had time to focus on other aspects of their organization.
For many subscription-based brands, forecasting in Excel can be challenging. In LOLA’s case, they also layered on the option to completely customize each box. Not only was LOLA planning for component SKUs that were shared across multiple subscription boxes, but also the variable SKU distribution within each box.
Prior to using Fuse, LOLA was forced to rely on usage data provided by their 3PL to get historical data to forecast against, resulting in inaccurate demand forecasts.
Eliminate manual upkeep of data - used Fuse’s integrations to pull in real time sales and inventory data.
Manage component inventory - used Fuse’s BOM feature to track component data, as well as receive detailed sales and forecasting reports for both selling units and components.
Free up time for the operations team to spend on strategic decision making instead of redundant data updates.
