AI-POWERED CUSTOMER ANALYTICS & RECOMMENDATION PLATFORM

Turn Customer Data Into Revenue.

RevUp helps superstores turn everyday transaction data into actionable customer intelligence — identifying churn risk, discovering product opportunities, increasing basket potential and enabling smarter, more relevant campaigns.

Built and fine-tuned for retail and superstore environments, with support for single and multi-outlet operations.

The Business Challenge

Your customer data already knows what happens next.

Retailers generate large volumes of transaction and customer behaviour data every day — but most struggle to turn it into a decision. Common blind spots:

  • Which customers are becoming inactive
  • What customers are likely to buy next
  • Which familiar products customers have quietly stopped purchasing
  • Which customer segments should receive which campaigns
  • How shopping behaviour differs between outlets
  • Where basket-growth opportunities are being missed

RevUp turns those signals into actionable retail intelligence.

Core Platform Capabilities

Powerful features, for your superstore.

Item Drop-Off Detection

Know exactly which products regular customers have stopped buying.

Basket Growth Intelligence

Surface related products and patterns that uncover opportunities to grow transaction value.

Customer Segmentation

Turn behavioural patterns into useful customer groups for analysis and engagement.

Campaign Management

Convert RevUp insights into targeted campaign audiences and recommended offers.

Multi-Outlet Customer Intelligence

Build a unified view of shopping activity across multiple branches.

Real-Time Dashboard & Analytics

Give management visibility into KPIs, revenue, campaigns, churn and retail behaviour.

How The AI Works

From transactions to intelligence.

1Purchase Data
2Customer Behaviour
3RevUp Analysis
Churn SignalsProduct AffinityDrop-Off BehaviourBasket PatternsCustomer Segments
4Recommended Action
Campaign · Retention · Recommendation
Real-World Use Cases

What RevUp catches, day to day.

Representative scenarios identified during discovery — not an exhaustive list of what RevUp can do.

01

Detect a Product Drop-Off

A regular customer buys cooking oil every week — but hasn't purchased it in three weeks.

Purchase history Behaviour change detected Drop-off flagged Eligible for action
02

Recommend the Next Relevant Product

A customer regularly buys bread and butter — but never jam.

Bread + Butter Pattern: similar customers buy Jam too Jam recommended
03

Increase Basket Opportunity

A customer buys baby diapers, but skips related items like wipes, lotion or detergent.

Diapers only Related-category pattern identified Recommendation surfaced
04

Understand Customers Across Outlets

A customer shops at different branches of the same superstore — sometimes Dhanmondi, sometimes Uttara.

Dhanmondi Unified customer intelligence Uttara
05

Detect Customer Churn Risk

A regular customer's visit frequency stretches from every 7 days to every 20.

Every 7 days Every 12 days Every 20 days Churn risk

Indicators used: days since last purchase, purchase frequency, spending, basket-size trend, customer lifecycle stage.

06

Personalized Campaign Audience

RevUp detects reduced visit frequency and understands the customer's preferences.

Customer behaviour Customer segment Recommended campaign

RevUp generates the eligible list and recommended campaign; the retailer sends it through their own SMS/email channel.

Platform Screenshots

See retail intelligence in action.

Real RevUp platform screens — not mockups.

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RevUp dashboard overview — real-time KPIs, revenue and sales-by-category

Dashboard Overview. Real-time KPIs, revenue, active campaigns and churn rate at a glance.

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RevUp churn reactivation report

Churn Reactivation Report. Deep segmentation and churn-risk detection, month by month — churn period, detected churn and reactivation rate side by side.

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RevUp sales growth report

Sales Growth Report. Revenue and order trend, tracked month over month against the prior month.

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RevUp basket size increase breakdown

Basket Size Report. Average basket size (revenue per order), tracked the same way.

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RevUp campaign management screen

Campaign Management. Smart audience targeting, channel & budget control, and a compliant message preview with automatic opt-out.

Business Outcomes

Built to improve the metrics retailers care about.

Customer Retention

Identify customers at risk of disengaging, while there's still time to act.

Basket Growth

Discover relevant cross-sell and related-product opportunities.

Customer Reactivation

Identify inactive or declining customers for targeted, timely action.

Campaign Relevance

Build audiences from actual shopping behaviour, not broad assumptions.

Retail Intelligence

Give management actionable customer and sales insight, not just historical reports.

Solution Architecture

How RevUp connects to your retail systems.

POS System ERP / Retail Software E-Commerce Platform Customer / Sales Data
SSL Secured Firewall Protected
API IntegrationSFTP Integration

RevUp AI Platform

Customer AnalyticsChurn PredictionProduct RecommendationsCampaign IntelligenceDashboards & Reports
Customer Segments Recommendations Reports & Insights Campaign Recommendations

* RevUp generates campaign recommendations and eligible audiences. Customers execute SMS/email campaigns using their own existing communication systems.

Privacy-First Data Model

Intelligence without unnecessary customer contact data.

RevUp operates on customer identifiers and transaction behaviour. The analytics workflow does not require customer phone numbers or email addresses.

Customer ID
Transactions
Products
Store / Outlet
Purchase History
Phone NumberNot required for the analytics workflow
Email AddressNot required for the analytics workflow
Enterprise Security & Operational Control

Designed to modern enterprise security and privacy standards.

Application & Access Control

  • SSL/TLS Enabled Application — encrypted communication across all connections.
  • Role-Based Access Control (RBAC) — users only access authorized data and features.
  • Multi-Factor Auth — MFA Ready — supported as an additional layer of account security.
  • Active Directory Integration — supports customer enterprise authentication systems.
  • Secure Session Management — session timeout and secure token handling.

Data Protection & Privacy

  • Data Encryption — TLS/SSL for data in transit, AES encryption for protected storage.
  • Input Validation & Threat Protection — protection against SQL injection and cross-site scripting.
  • Logging & Audit Trails — timestamped activity tracking and monitoring.
  • No Customer Phone or Email Required — operates on customer identifiers only.

Infrastructure & Deployment Security

  • Deployment behind enterprise firewall
  • Hosted in a secured infrastructure zone
  • Supports MBSS & CIS security controls
  • OS & database-layer hardening
  • Continuous monitoring & controlled access

* In production, these controls are maintained per the customer organization's own security policy.

SSL Secured RBAC Enabled Firewall Protected Audit Logging
Integration

Designed to work with your existing retail ecosystem.

POS / ERP / Commerce Secure Data Integration RevUp Intelligence Insights & Actions
Customer Information Product Information Store Information Transactions Transaction Items

Data is exchanged through supported secure mechanisms (API and SFTP integration). Onboarding scope and data volume are agreed per engagement.

Why RevUp

Move beyond reporting. Understand what to do next.

Conventional reporting tells retailers what happened. RevUp is designed to help uncover who is changing, what they may need next, where opportunities are being lost, and which customers deserve attention.

Traditional Reporting
  • Revenue
  • Orders
  • Sales
  • Historical KPIs
RevUp Intelligence
  • Churn signals
  • Customer behaviour
  • Product affinity
  • Drop-off detection
  • Recommendations
  • Actionable segments
REVUP

Turn retail data into your next growth opportunity.

See how RevUp can help your team understand customer behaviour, identify opportunities and make smarter retail decisions.