Case Study: Major Technology Company achieves actionable sales insights and refined product strategy with Blueocean Market Intelligence

Advanced recursive chain forecasting model evaluates sales impact and helps form new strategy and future roadmap

Major Technology Company engaged Blueocean Market Intelligence to evaluate the sales impact of consolidating several pre-existing brands into a single, compact product rolled out across major U.S. electronics retailers. The client faced challenges including malicious downloads and storage/usability concerns and wanted a regional- and product-level deep dive to understand seasonality, cross-sell effects and whether the new product strategy was working — Blueocean was asked to deliver time-series forecasting and data-integration support, including a recursive chain forecasting model.

Blueocean Market Intelligence integrated and cleansed multi-state sales, labor and auxiliary data, then applied time-series models (recursive chain forecasting), Bayesian networks, residual analysis, Granger causality and cross-price elasticity to quantify seasonality, causality and cross-sell impacts. The work showed seasonality affected commodity sales uniformly across geographies, identified product bundles and segments that responded well to the new product, and found the new product’s sales were driven by the old product — insights that enabled Major Technology Company to assess success and refine bundling, pricing and go-to-market decisions.