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Most retail analytics platforms tell you what happened. RetailNext Insights tells you what it means and what's coming next. Built for analytics and BI teams who need more than a traffic dashboard, our platform combines shopper behavior data with AI-powered analysis, predictive modeling, and the industry's largest benchmark dataset — delivering intelligence that drives strategic decisions at every level of the business. From the analyst building custom reports to the executive asking a quick question on mobile, RetailNext makes every insight accessible and every decision data-backed.

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Ask Questions in Plain English

Pulse AI answers business questions in natural language — no SQL, no analyst queue, no waiting. Any team member, at any level, can ask what's happening in their stores and get an immediate, accurate answer grounded in real data.

See What's Coming Before It Arrives

Machine learning models trained on billions of shopper interactions forecast traffic patterns weeks in advance, predict the impact of promotions before they launch, and surface anomalies before they become expensive problems.

Benchmark Against the Industry's Largest Dataset

RetailNext aggregates performance data across 560+ retailers and 100+ countries. Compare your metrics against peers in your category, geography, and store format.

Your Data Has Answers. Insights Finds Them.

RetailNext Insights combines shopper behavior data, AI-powered analysis, and the world's largest retail performance benchmark dataset — delivering intelligence that drives strategic decisions at every level of the business.

Built for the decisions THAT SHAPE YOUR STRATEGY.

Analytics and BI teams use RetailNext Insights to move beyond reporting and into genuine predictive and strategic intelligence.

Get Answers Without Writing a Query.

Pulse AI is RetailNext's natural language chatbot — ask it a business question in plain English and it responds with accurate, data-backed answers drawn from your retail performance data. No SQL. No analyst dependency. No waiting.

Natural language question answering across your entire store network
Accessible to every team member without technical expertise
Mobile-optimized for on-the-go decision makers
Learns from conversation context to provide increasingly relevant responses

Plan for What's Coming, Not What's Already Happened.

RetailNext Insights uses machine learning models trained on billions of shopper interactions to forecast traffic patterns, predict the impact of upcoming promotions, and identify emerging trends — weeks before they appear in your sales reports.

AI-powered traffic forecasts based on historical patterns, seasonal trends, and event calendars
Predict promotional impact before launch
Identify anomalies and emerging trends automatically
Seasonal and event-based modeling for resource planning

Know Where You Stand Against the Industry.

RetailNext aggregates performance data across the world's largest retail dataset, enabling you to compare your conversion rates, traffic trends, and shopper yield against peers in your category, market, and store format.

Industry's largest benchmark dataset
560+ retailers, 100+ countries
Compare across peer groups filtered by category, geography, format
Identify performance gaps based on industry best practices
Track competitive progress over time

Build the Reports Your Business Actually Needs.

RetailNext Insights lets BI teams build custom dashboards, reports, and KPI views tailored to the specific questions that matter to your leadership team — and deliver them to the right people at the right time.

Custom dashboards for different roles — executive, regional, store-level
Define and track KPIs specific to your objectives
Integrate with existing BI infrastructure and enterprise tools
Schedule and distribute automated reports

Powered by the Aurora® Sensor

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The DATA BEHIND THE DECISION.

Analytics and BI teams at leading retailers use RetailNext Insights to move from reactive reporting to predictive intelligence.

560

Retailers in the benchmark dataset

RetailNext

Additional sales in 7 months

The Vitamin Shoppe

Damian Hall

Ready to Turn Your Data Into STRATEGIC INTELLIGENCE?

Talk to our team. We'll show you how RetailNext Insights delivers the analytics capabilities your BI team has been looking for.

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Case Study

Aurora is the all-in-one IoT sensor simplifying shopper behavior measurement. From understanding precise shopper paths to their individual actions and behaviors, Aurora goes beyond traditional traffic counting and conversion.

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