Turn Omnichannel Noise into Retail Precision
Unify storefront, marketplace, CRM, and POS data into a single operating view. Make faster decisions on assortment, pricing, inventory, and retention.
Retail's Data Fragmentation Problem
Retailers collect data across dozens of channels and systems, but disconnected tools prevent them from acting on the full picture fast enough.
Channel Silos
Online, in-store, and marketplace data live in separate systems, making unified performance tracking impossible.
Inventory Blind Spots
Stockouts and overstock stem from demand signals that never reach planning teams in time.
Customer Attrition
Without unified purchase history, retention campaigns miss high-value customers who show early churn signals.
Pricing Guesswork
Manual pricing and promotion decisions leave margin on the table across categories and channels.
Retail Data Solutions
End-to-end capabilities that help retailers connect customer, product, and channel data for faster, smarter decisions.
Omnichannel Data Unification
Connect POS, ecommerce, marketplace, and CRM feeds into one retail data model.
Demand & Churn Forecasting
Predict sell-through, stockout risk, and customer churn to optimize inventory and retention.
Retail Performance Dashboards
Track sales, margin, basket size, and customer lifetime value by channel and category in real-time.
Category & Pricing Strategy
Use data to optimize assortment, markdown cadence, and promotional ROI across your portfolio.
Programs That Drive Retail Profitability
Retailers grow margins fastest when product, customer, and channel data operate from one shared analytics layer.
Assortment Rationalization
Score SKUs by velocity, margin contribution, and substitutability to optimize shelf and digital space.
Loyalty & Lifecycle Programs
Trigger personalized retention offers using purchase frequency, recency, and segment propensity.
Inventory Allocation Intelligence
Route inventory to highest-demand nodes using real-time sell-through and regional demand signals.
Dynamic Markdown Optimization
Model markdown timing and depth to clear aging inventory without sacrificing margin unnecessarily.
Multi-Brand Retailer Increases GMROI by 22%
A national retailer had inconsistent pricing and promotion strategies across its 200+ locations, costing millions in lost margin.
- Solution: We unified POS and inventory data, then built a pricing elasticity model that auto-adjusts markdowns by store cluster.
- Outcome: 22% improvement in gross margin return on investment (GMROI).
- Bonus: Stockout rate dropped 15% through improved demand sensing.
Retail Analytics FAQs
Yes. We connect POS, ecommerce, marketplace, and CRM data into one unified retail data model for true omnichannel visibility.
We combine historical sales, seasonality signals, promotional calendars, and external data to build ML forecasting models that reduce overstock and stockouts.
Yes. We build churn prediction models using purchase recency, frequency, and engagement signals to trigger proactive retention campaigns.
Most retailers launch an initial performance dashboard within a few weeks, then expand into deeper category and customer analytics.
Yes. We integrate data from Amazon, Shopify, and other marketplaces to give retailers a unified view of all channels.
Yes. We model price elasticity, sell-through velocity, and margin impact to recommend markdown timing and price changes by category.
Yes. We benchmark stores using traffic, conversion, basket size, and labor efficiency metrics so operators can replicate top-performing playbooks.
Turn Retail Data into Competitive Advantage
Unify your channels, predict demand, and grow customer lifetime value.
Book a Retail Data Audit