True Botanicals was founded by Hillary Peterson in 2014. After being diagnosed with thyroid cancer at the age of 32, Hillary came to understand the troubling connection between one’s self-care products and their health impacts. Disheartened by the lack of ingredient regulation in the beauty industry, Hillary pivoted careers, helping build a local Bay Area skincare brand that prioritized thoughtfully researching the health and environment sustainability of their products.

With a storefront integration, True Botanicals was able to actualize sales daily in Fuse. This allowed the operations team to generate a forecast, at any time, with up-to-date sales trends and seasonality. By eliminating the need for constant manual updates in Excel, True Botanicals was able to focus on making more strategic forecast adjustments using Fuse’s events forecasting module.

Read more about the TRUE BOTANICALS case study – Fuse Inventory.

Snowe is a DTC home essentials brand born from the idea that luxury, quality products should be available at an attainable price point. Often referred to as the Everlane of home essentials, Snowe’s timeless aesthetic will help you build the foundation for your life: eat, drink, sleep, and bathe. Founded in 2015 by Wharton grads Rachel Cohen and Andrés Modak, Snowe has expanded from e-commerce to multiple retail locations and third-party retail partnerships.

Using Fuse’s forecasting module, Snowe segmented their business by different sales channels, and assigned channel-specific goals and targets. They had quick visibility into how each retail location was tracking to those goals, with easy-to-share graphs and real time updates. Also, by navigating to Fuse’s smart order recommendation module, Snowe was able to surface urgent restocks and ensure they were optimizing each channel’s reorders and OH inventory levels. With Fuse, Snowe reduced the strains of manual work in spreadsheets to give the operations team time to focus on all of the other factors that go into managing these additional sales channels.

Read more about the SNOWE case study – Fuse Inventory.

Margaux is dedicated to quality and customer experience above all else. Given the variety of product offered in many colors and sizes, it was hard to keep track of historical performance and leverage that data to forecast demand. Margaux wanted to make sure that each and every customer that came to the site could get the exact product in the exact size she wanted. This dedication to quality resulted in overstocking lower volume SKUs, tying up tens of thousands of dollars of capital. Without additional visibility into the data, it was a tough challenge to avoid. With Fuse, Margaux can now easily see their sales data, inventory levels, open POs and place their inventory buys with confidence.

Read more about the MARGAUX case study – Fuse Inventory.

Previously stuck planning inventory in Excel and Google sheets, Aella now uses Fuse to forecast demand, order inventory, replenish inventory and track procurement. Fuse provides a holistic ecosystem where key stakeholders like the CEO can gain visibility into the company’s current and expected performance. Fuse’s sophisticated algorithms help automate the team’s work so that they can spend time analyzing the data rather than collecting data and creating the analysis in Excel from scratch. Fuse’s structured process for creating the initial buy and replenishment recommendation helps streamline Aella’s workflow making sure that the company avoids stock outs of critical core SKUs.

Read more about the AELLA case study – Fuse Inventory.

LOLA is a reproductive care brand offering high quality, 100% organic products you can trust. When founded in 2015, Dartmouth grads Alex Friedman and Jordana Kier were on a mission to build the first lifelong brand for a woman’s body. LOLA’s period and sexual health products are delivered right to your door, in the form of a customizable subscription, to make sure you have exactly what you need, when you need it.

Using Fuse’s variable BOM feature, LOLA was able to specify which component SKUs customers could choose from in each type of subscription box. 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. LOLA 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. Based on demand, daily order recommendations were automatically calculated, 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.Fuse has helped LOLA spend less time reporting out on inventory and demand on a weekly basis – streamlining some manual processes and data pulls.

Read more about the LOLA case study – Fuse Inventory.