Industry

Retail & E-commerce

Turn customer, inventory, and supply chain data into the competitive advantage that drives profitable growth.

28%

average improvement in demand forecast accuracy at SKU level

$180M

in identified inventory carrying cost savings across retail clients

3.2x

increase in email campaign conversion through ML-driven personalization

Challenges We Solve

Demand forecasting accuracy at SKU and store level

Unified customer 360 across e-commerce, in-store, and mobile channels

Personalization engines for product recommendation and dynamic pricing

Inventory optimization and supply chain visibility

Marketing attribution modeling across paid, organic, and social channels

Real-time pricing and promotion analytics

Our Approach

Retail data is high-volume, high-velocity, and high-stakes. Out-of-stock events, pricing errors, and poor personalization have immediate, measurable revenue consequences. Qcentra's retail practice focuses on two things: speed-to-insight and prediction accuracy — building ML models that outperform the spreadsheet forecasts your merchandising teams currently rely on.

We focus on speed-to-insight and prediction accuracy. That means getting data from point-of-sale or clickstream to analytics in minutes, not days — and building ML models that consistently outperform baseline statistical approaches.

Relevant Services

Data Engineering & Integration Data Analytics & Business Intelligence Artificial Intelligence & Machine Learning

Ready to Tackle Your Retail & E-commerce Data Challenges?

We understand your industry's unique requirements. Let's design a solution that delivers real outcomes.

Schedule a Consultation Explore Our Services