Retail & Consumer

Industry Overview

Retail operates on thin margins where data-driven decisions directly impact the bottom line. From demand forecasting to dynamic pricing and customer segmentation, analytics is the engine that powers modern retail operations.

Sceniuz helps retailers and consumer brands harness their transactional, behavioural, and supply chain data to drive growth and efficiency.

Key Analytics Use Cases

• Demand Forecasting: ML-driven demand predictions at SKU/store level to optimise inventory and reduce stockouts.
• Customer 360: Unified customer profiles combining POS, e-commerce, loyalty, and social data for personalisation.
• Pricing & Promotion Analytics: Elasticity modelling, competitive pricing insights, and promotion ROI measurement.
• Merchandising & Assortment: Category performance analysis, assortment optimisation, and planogram analytics.
• Omnichannel Analytics: Cross-channel attribution, click-and-collect optimisation, and unified KPI dashboards.

Our Approach

Our retail engagements typically start with a data integration sprint — unifying POS, ERP, e-commerce, and loyalty data into a clean analytics layer. From there, we build progressively more sophisticated use cases in 4-week sprints.