How Datamatics Drove 32% Sales Growth with Smart Pricing for a Global Marketplace

The client is a leading multinational online marketplace had carved out a strong presence across international retail channels. With a consolidated and expansive product portfolio—including kitchen and homeware, garden supplies, beauty products, fitness gear, and pet essentials.

The Challenge: Strategic Visibility Gaps

Despite its global footprint and expansive catalog, the client’s executive leadership found themselves navigating increasingly complex pricing decisions in a highly dynamic market. The Chief Information Officer (CIO) recognized a growing need for intelligent, real-time insights that could translate raw sales and pricing data into actionable strategies.

The challenge wasn’t a lack of information—but a lack of visibility. Without a centralized, predictive view into how pricing fluctuations affected different product categories. The leadership team was keen to acquire a solution that would offer proactive visibility into pricing behavior across SKUs—enabling them to align pricing decisions with key business objectives.

Among those objectives: crafting smarter, more responsive price promotion strategies; identifying optimum price points that would drive incremental Gross Merchandise Value (GMV); safeguarding inventory margins; and minimizing the impact of price elasticity on sales velocity.

The Solution: AI-Led Optimization

To tackle the pricing challenge head-on, Datamatics delivered a robust, multi-layered R&A solution that seamlessly blended statistical rigor with advanced machine learning.

The journey began with a deep-dive into the client's historical sales and pricing data. Using a suite of descriptive statistical techniques—including ANOVA, dispersion analysis, and hypothesis testing—Datamatics uncovered actionable patterns across product categories. These insights provided the foundational layer of understanding: which SKUs behaved similarly under pricing pressure, where variances existed, and how different segments responded to changes.

To future-proof pricing decisions, Datamatics further applied advanced econometric time series models such as ARIMA, Holt-Winters, and Exponential Smoothing. These models enabled precise forecasting of optimal price points, accounting for seasonal trends, market fluctuations, and historical velocity. This predictive capability empowered the client to plan pricing well in advance—mitigating risk while maximizing revenue potential.