Merchandising
Product and category performance.
Retail Analytics Software
Retail Analytics Software for Data-Driven Retail
Turn retail data into decisions: sales and product performance, customer behavior and segmentation, store and inventory analytics, and demand forecasting, with predictive and omnichannel insights on live dashboards.
Sales AnalyticsCustomer SegmentationDemand ForecastingOmnichannel
Trusted by global innovators
What is retail analytics software?
Retail analytics software is the system that joins POS, eCommerce, ERP, CRM and inventory data into one model, so merchandising, marketing and store teams see sales, customer, product and stock performance in the same numbers. Agnotic Technologies builds it for retailers as custom software, connected to the systems they already run.
Off-the-shelf analytics tools rarely know your product hierarchy, store list or promotion rules; a custom build does. It adds inventory analytics, demand forecasting and pricing and promotion analysis on top of sales, customer and product dashboards.
What it is
Retail data, turned into decisions
A retail analytics platform unifies sales, customer, product, store, and inventory data into BI dashboards with segmentation, forecasting, and predictive insights.
Connected to POS, eCommerce, ERP, and CRM, it gives retail teams one view to drive merchandising, marketing, and operations.
What do we build into a retail analytics platform?
Each capability turns a stream of retail data into a decision merchandising and ops can act on.
Sales Performance Analytics
Retail BI dashboards on sales performance.
Customer Behavior Analysis
Analyze customer behavior and journeys.
Customer Segmentation
Segment customers for targeting and insight.
Product Performance Analytics
Analyze product performance and trends.
Store Performance Monitoring
Monitor store performance across locations.
Inventory Analytics
Inventory analytics and demand forecasting.
Predictive Retail Analytics
Predictive analytics and AI-powered insights.
Pricing & Promotion Analysis
Pricing analytics and promotion effectiveness.
Omnichannel & POS Integration
Omnichannel analytics with POS, eCommerce, ERP, and CRM integration.
Where it runs
Who uses retail analytics software?
Merchandising, marketing, operations, and leadership across retail.
Marketing
Customer segmentation and journeys.
Store operations
Store performance monitoring.
Supply & planning
Inventory analytics and forecasting.
Pricing teams
Pricing and promotion analysis.
Leadership
Retail KPIs and predictive insight.
Why it matters
What changes when retail data is unified?
- Unify sales, customer, and product data
- Understand and segment customers
- See product and store performance
- Forecast demand and optimize inventory
- Analyze pricing and promotion impact
- Predict trends with AI insights
Data without insight is just noise
Retailers drown in data but starve for decisions. Analytics turns sales, customer, and inventory data into action across the business.
Unified
Sales, customer, and product
Predictive
Demand and trends
Omnichannel
One view across channels
Domain & connectivity
Built for retail intelligence
Retail BICustomerForecastingPricingOmnichannelPOS / eCommerce
Facts and sources
Which standards shape retail analytics data?
Short facts we design the data model and data flows around, each linked to its primary source.
PCI DSS applies to every entity that stores, processes or transmits cardholder data or sensitive authentication data, or could affect the security of the cardholder data environment, including merchants.
Source: PCI Security Standards Council, PCI DSSGS1 Application Identifier (01) carries the Global Trade Item Number (GTIN) that identifies a trade item, as a 14-digit number ending in a check digit.
Source: GS1 Application Identifier (01) (ref.gs1.org)GS1 Application Identifier (414) identifies a physical location with a 13-digit Global Location Number (GLN) that ends in a check digit.
Source: GS1 Application Identifier (414) (ref.gs1.org)
Frequently Asked Questions
It unifies POS, eCommerce, ERP, CRM, and inventory data into one model, so analytics reflect the whole business rather than a single channel. We scope the sources during discovery.
Yes. It forecasts demand from sales and trend data to inform inventory and merchandising, and applies predictive analytics for retail trends and customer behavior.
Yes. Customer behavior analysis, segmentation, and journey analytics help marketing and merchandising target and personalize based on real behavior.
Same analytics approach, retail domain (sales, customers, products, stores, inventory, pricing, and promotions) with retail-specific metrics and integrations. We tailor the model to your business during discovery.
Retail data arrives in different shapes - a POS sale, a web order, an ERP receipt - so the platform maps them to a common model of products, customers, stores, and transactions, resolving the same product or customer across channels. That reconciliation is the unglamorous work that makes a cross-channel number trustworthy; without it, online and store figures never quite tie out. We map your sources and matching rules during discovery.
Yes. It ties promotions and markdowns to the sales lift, margin impact, and cannibalization they actually produced, so merchandising can see which offers drove profitable volume and which just discounted sales that would have happened anyway. Combined with demand forecasting, that turns pricing and promotion from habit into a measured lever.
It depends on how many data sources feed the model, how clean your product and store master data is, how far back history must load and how many dashboards the first release needs. POS and eCommerce feeds with shared product codes move fastest. We give you a scoped plan after the scoping call.
Yes. A first release covers one workflow, such as daily sales and store performance from your POS and eCommerce data, built on the same data model the later modules will use. Forecasting, segmentation and promotion analysis are added in later releases.
AI tools help our engineers draft code and tests, but a person reviews every change, and it passes the same automated tests and security checks as any other code. Which tools may see your code or data is agreed with you at the start.
Ready to make retail decisions with data?
Tell us about your data, KPIs, and systems. We'll return a plan for a retail analytics platform with sales, customer, and demand insights.
contact@agnotic.com
Partnerships
contact@agnotic.com