Case Study: E‑commerce Company achieves higher availability and lower inventory investment with Solvoyo

E-Commerce Company - Customer Case Study

E-Commerce Company, a market-leading online retailer with 2M+ products across 30+ categories and 50M+ monthly visitors, engaged Solvoyo to address rapid growth challenges. The retailer faced an outdated Excel‑based purchasing process, high nonperforming stock, heavy planner workload, fragmented data sources and availability issues; Solvoyo was brought in to provide its platform for demand and procurement planning using predictive analytics and machine learning.

Solvoyo centralized disparate data, established common planning processes and KPIs, and automated short‑term forecasts for over 1M SKUs and inventory optimization for the ~50K SKUs in the DC, rolling from pilot categories to full company deployment within nine months. Using Solvoyo’s platform and ML‑driven forecasts (including web search, click and marketplace signals), the company improved availability and first‑day fulfillment, reduced unproductive stock and achieved savings "in the tens of millions of dollars," with KPI tracking maintained since go‑live.