How RivAI Helps B2C Brands Convert More Customers
Across Online, WhatsApp, Voice, and Offline Stores - one intelligent system to capture, follow up, and convert.
5
Core Use Cases
Omnichannel retail, fashion e-commerce, offline chains, inventory intelligence, and customer support.
10+
Lead Sources Unified
Website, WhatsApp, Instagram, Facebook, marketplace, walk-ins, missed calls, and more.
0
Missed Follow-ups
Every lead captured, classified, and actioned - automatically.
1
Unified Dashboard
Online and offline data, inventory signals, and customer conversations in one place.
The Real Problem
The Real Problem: Lead Leakage
Interested Customers Are Slipping Away
B2C companies today are not losing business because customers are uninterested. They are losing business because interested customers are not followed up at the right time, on the right channel, with the right message.
Leads arrive from every direction - and without a unified system, most of them simply disappear.
Where Leads Come From
- •Website forms & abandoned carts
- •WhatsApp & Instagram inquiries
- •Facebook lead forms & marketplace queries
- •Missed calls & customer support chats
- •Offline store walk-ins
- •COD orders awaiting confirmation
Case Study 1
Omnichannel Retail - Stopping Lead Leaks
A growing B2C retail brand with e-commerce, marketplace, WhatsApp, Instagram, and offline stores had no single system to track, prioritise, and convert leads. The issue was not lack of demand - it was lead leakage.
Unified Lead Capture
All leads - online and offline - pulled into one Riv.ai dashboard, including Excel uploads and walk-in entries.
AI Lead Classification
Leads auto-classified as hot, price-sensitive, abandoned cart, COD pending, repeat customer, or support case.
Personalised Follow-up
Automated WhatsApp, SMS, RCS, or voice follow-ups tailored to each customer's journey and product interest.
Smart Human Handoff
High-intent or complex queries - discount requests, bulk orders, angry customers - escalated to real agents instantly.
Case Study 2
Fashion Brand - Cart Recovery & COD Confirmation
A fashion and lifestyle brand had high traffic and strong product interest, but customers were not completing purchases. COD orders were placed but not confirmed, shipments got rejected, and the customer care team manually called customers with no smart prioritisation.
Cart Detected
WhatsApp Sent
Reply or AI Escalate
COD Confirmed
Riv.ai's Smart Risk Detection also flagged risky COD orders based on no response, wrong address, repeated failed deliveries, or unusually high order values - reducing losses before dispatch.
Case Study 3
Offline Store Chain - Walk-ins Into Repeat Customers
The Problem
Retail chains with multiple physical stores had good footfall, but customer data was unused. Walk-ins were not captured digitally, staff did not follow up after visits, and there was no reminder system for repeat purchases or personalised WhatsApp campaigns.
How Riv.ai Captured Walk-ins
- •QR code form at store entrance
- •Store tablet or staff entry
- •WhatsApp opt-in at billing counter
- •Missed call or inquiry form
AI Follow-up Example
"Hi Neha, thank you for visiting our store today. We found 3 new party wear options in your preferred budget. Would you like us to share them on WhatsApp?"
Store Performance Dashboard
- •Total walk-ins vs. converted customers
- •Most asked products & sizes
- •Store-wise & staff-wise conversion rate
- •Follow-up pending alerts
Case Study 4
Multi-Store Brand - Connecting Inventory With Online Demand
A B2C company with physical stores and an online catalogue had no intelligence layer connecting what customers searched online with what was sitting in stores. The result: overstock in some locations, stockouts in others, and wrong products being promoted online.
Demand Signal Capture
Website searches, WhatsApp inquiries, abandoned carts, and offline billing data all fed into one demand engine.
Inventory Mapping
Online demand matched against store stock. Example: Noida users searched "red lehenga" - Sector 18 store had 12 in stock. Riv.ai triggered local WhatsApp campaigns.
Smart Product Push
Riv.ai recommended which product to promote to which customer segment based on browsing history and proximity to stores.
Inventory Alert Dashboard
Brand could see fast-moving items, dead stock, location-wise demand trends, and suggested campaigns per store.
Case Study 5
B2C Customer Support - AI First, Human When Needed
A consumer brand receiving queries through WhatsApp, website chat, Instagram, and phone calls had slow, scattered support. The team spent too much time on repetitive questions while high-intent customers waited for responses.
What AI Handles Instantly
- •Order status & delivery timeline
- •Store location & product availability
- •Return, exchange & COD policies
- •Payment options
When Humans Take Over
- •Angry customer or refund issue
- •Delayed order or complex complaint
- •Negotiation or bulk request
- •Customer explicitly asks for a human
Platform Overview
The Riv.ai Platform at a Glance
Riv.ai connects all customer touchpoints into one intelligent system - so no lead is missed, no cart is abandoned without a follow-up, and no offline walk-in is forgotten.
Impact
Impact Across All Five Use Cases
5
Core Use Cases
Omnichannel retail, fashion e-commerce, offline chains, inventory intelligence, and customer support.
10+
Lead Sources Unified
Website, WhatsApp, Instagram, Facebook, marketplace, walk-ins, missed calls, and more.
0
Missed Follow-ups
Every lead captured, classified, and actioned - automatically.
1
Unified Dashboard
Online and offline data, inventory signals, and customer conversations in one place.
Understand Customer Intent
AI classifies every interaction by buying intent, query type, and urgency - so the right action is taken at the right time.
Stop Lead Leakage
No customer falls through the cracks - whether they came from an Instagram ad or walked into a store in Sector 18.
Connect Online & Offline
Inventory intelligence bridges the gap between digital demand and physical store availability for smarter decisions.
Closing View
Riv.ai: From Scattered Interest to Structured Revenue
Riv.ai does not just automate communication. It helps businesses understand customer intent, stop lead leakage, recover lost revenue, and connect online demand with offline store performance.
For Online Brands
Recover abandoned carts, confirm COD orders, and convert ad traffic into actual sales.
For Offline Chains
Capture walk-in data, automate follow-ups, and turn footfall into long-term digital relationships.
For Omnichannel Brands
Bridge inventory, demand signals, and customer conversations across every channel in one AI-powered platform.