Retail Data Platform
Unify POS, eCommerce, CRM, loyalty, merchandising, inventory, supplier, and finance data.
Retail & Consumer Products Intelligence
Connect customers, stores, eCommerce, mobile, merchandising, inventory, supply chain, finance, and marketing data to improve growth, margin, loyalty, and executive decision-making.
Retailers that connect customer, product, inventory, channel, promotion, and financial data can make faster decisions that improve growth, margin, and loyalty. Concinnity creates that connected intelligence across the retail value chain.
Executive priorities
Fragmented customer, merchandising, sales, inventory, and financial data makes it difficult to optimize growth and margin. Concinnity helps retailers create one trusted view of enterprise and customer performance.
Connect store, digital, mobile, marketplace, fulfillment, and customer-service experiences.
Improve forecasting across products, locations, channels, seasons, and promotions.
Reduce stockouts and excess inventory while protecting service levels and working capital.
Understand the impact of pricing, promotions, markdowns, fulfillment, returns, and mix.
Improve loyalty, relevance, engagement, and lifetime value through customer intelligence.
Measure incremental lift, cannibalization, margin impact, and customer response.
Executive KPI view
Illustrative metrics are shown for design purposes. Final dashboards are tailored to each retailer’s operating model and KPI definitions.
Customer Journey Intelligence
Audience intelligence, media effectiveness, attribution, and campaign performance.
Search behavior, recommendations, personalization, assortment, and discovery.
Conversion, basket analysis, pricing, offers, payment, and checkout.
Availability, allocation, delivery promise, orchestration, and returns.
Contact drivers, resolution, sentiment, returns, and experience analytics.
Retention, lifetime value, churn propensity, rewards, and next-best action.
Retail Intelligence Framework
Concinnity retail solutions
Unify POS, eCommerce, CRM, loyalty, merchandising, inventory, supplier, and finance data.
Connect SAP and non-SAP retail data for analytics, planning, and AI.
Enable Customer 360°, segmentation, churn prediction, lifetime value, and personalization.
Improve assortment, pricing, promotions, markdowns, and category profitability.
Optimize replenishment, allocation, inventory levels, supplier performance, and fulfillment.
Connect sales, inventory, promotions, workforce, and financial planning.
Deliver trusted views of sales, margins, customers, stores, digital, and inventory.
Apply AI to forecasting, recommendations, pricing, promotion planning, and engagement.
Technology ecosystem
Transformation example
Customer, inventory, sales, promotion, and merchandising data were fragmented across multiple systems.
Designed a governed retail data model, standardized KPIs, and enabled planning, promotion, inventory, and customer use cases.
Faster reporting, improved forecast accuracy, better availability, stronger promotion effectiveness, higher retention, and improved margin visibility.
Retail intelligence maturity
Evaluate customer data, analytics, planning, AI, merchandising, inventory intelligence, governance, and adoption.
Request an Executive AssessmentLet’s identify opportunities to improve growth, margin, inventory productivity, customer loyalty, and omnichannel experience.
Schedule a Retail Strategy Session