Data Science: In EMEA retail, the brands that win are the ones that see clearly. We eliminate the black box between your HQ and your European retail performance. nonplusultra's Data Science service gives consumer electronics brands full visibility into distributor activity, retailer performance, sell-through rates, and inventory levels across every market we manage. We build real-time dashboards to your brand's KPIs — sell-out by retailer, RTS by store, inventory by market. Your leadership team acts on data from last week, not last quarter. Our reporting infrastructure aggregates data from multiple sources across the retail ecosystem into a single, actionable view. Key capabilities: >97% accuracy in advanced sales forecasting: AI-based demand prediction across retailer × SKU × calendar week; Sell-out, stock, field visit, and marketing data: integrated into one unified structure with automated weekly insight reports; Sales, demand, and stock risk forecasting: AI-driven and predictive, not just retrospective; Hot Spot / White Spot analysis: classifies stores by performance tier and drives targeted field action plans; Ready to Sell Score (RTS) analytics: weekly tracking of store-level execution quality (0–25 points) against sell-out uplift; Triple Baseline Reporting: Actuals vs. Forecast vs. Goal, delivered weekly and reviewed at every QBR; Three-layer Data Science Maturity Model: from data integration and quality through insight delivery to ML-driven optimisation and A/B testing