Transform your sales data into strategic decisions. Optimize inventory, personalize experiences and maximize conversion with predictive analytics.
Data silos between physical and digital channels preventing a 360° customer view
73% of retailers don't exploit the full potential of their sales and customer data
Unbalanced inventory: stockouts and excess stock simultaneously in different locations
Limited personalization due to lack of actionable insights on customer behavior
Analytics solutions proven in retail environments
ML-powered demand prediction to optimize purchasing, inventory and staffing by location and season.
Optimal stock balance across locations, stockout reduction and working capital minimization.
Advanced segmentation, customer lifetime value and churn prediction for retention strategies.
Real-time price optimization based on demand, competition and price elasticity.
Unified view of customer journey across physical store, web, mobile and marketplaces.
Supplier performance evaluation, contract optimization and data-driven negotiation.
A retail analytics project ranges between €35,000 and €100,000 depending on the number of stores, channels and model complexity. It includes integration with POS, e-commerce and inventory systems. The average ROI in demand forecasting reaches 340% according to industry benchmarks.
A basic demand forecasting model can be operational in 6-8 weeks with at least 12 months of historical data. The complete solution with multichannel inventory optimisation and dynamic pricing requires 3-4 months. We deliver incremental results from the first phase.
At a minimum, we need historical sales data (12+ months), product catalogue and inventory data. For advanced models, we integrate web traffic data, loyalty programmes, weather data and event calendars. We carry out a complimentary initial data audit.
Yes, we integrate with the leading POS systems (NCR, Verifone, Square, Lightspeed) and e-commerce platforms (Shopify Plus, WooCommerce, Magento, PrestaShop). Integration via APIs automates real-time data ingestion.
We define business KPIs before starting: stockout reduction, inventory turnover improvement, conversion and average ticket increase. We implement dashboards with before/after comparisons and control groups to attribute improvements directly to analytical actions.
Our proven methodology ensures measurable results at every stage.
Retail and sales dashboards
Scalable data warehouse
NCR, Verifone, Square, Lightspeed
Big data processing
Data transformation and modeling
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