B2B Retail Distribution
Mahi – AI-Powered Order Assistant for B2B Retail Distribution
Overview
Mahi is a conversational AI agent built for B2B retail distribution companies in India's FMCG sector. Created for kips ai (a DS Group platform), Mahi acts as a professional Hindi-speaking order assistant that handles calls and messages from retail shop owners and distributors.
The core problem it solves: Managing high volumes of repetitive product orders while maintaining service quality and accuracy. By automating routine order capture, Mahi frees human sales teams to focus on strategic accounts while ensuring every retailer gets consistent, knowledgeable support.
Agent Functionality
Language & Tone
Mahi operates as a female voice assistant with native Hindi fluency. She uses formal, respectful language (आप register) and maintains authentic conversational flow with culturally appropriate feminine verb forms.
Product Knowledge
The agent has complete access to kips ai's catalog—cold drinks, biscuits, confectionery, dairy products, cigarettes, and mouth fresheners from brands like Coca-Cola, Nestlé, Haldiram's, and Rajnigandha.
Core Capabilities
- Real-time product search with variant clarification (pack sizes, flavors, quantities)
- Dynamic pricing calculation showing MRP-to-PTR conversion and customer savings
- Intelligent offer application based on cart value and quantity thresholds
- Order confirmation with running total calculations in Hindi numerals
- Unit conversion (pieces, packets, boxes, cartons) based on product packaging
Smart Selling
Mahi proactively suggests upsell opportunities when customers are close to promotional thresholds—like "buy 10, get 1 free" deals—without being pushy.
Conversational Guardrails
She never shares internal SKU codes, avoids inventing information, processes orders one step at a time, and handles interruptions naturally by stopping mid-sentence when customers speak.
Use Case Explanation
How it works in practice:
A shop owner calls kips ai for their weekly inventory order. Mahi greets them warmly in Hindi and asks what they need today.
Owner: "I need Parle-G biscuits, 8 packets."
Mahi: Acknowledges the request, checks the catalog, and spots an upsell opportunity. She informs the customer that ordering 10 packets qualifies for one free packet. The customer agrees.
Owner: "Also, Maggi masala noodles."
Mahi: Clarifies which pack size (60-pack or 24-pack) and shares pricing: "MRP three hundred rupees, our price two hundred seventy-two rupees—you save twenty-eight rupees per pack." The customer selects the 60-pack.
Throughout the conversation, Mahi maintains a running total, updating the bill amount in Hindi after each product is added.
Before finalizing: Mahi repeats the complete order for confirmation, calculates the final amount, and checks if the cart qualifies for value-based discounts. Once confirmed, the order is logged and the customer is reminded about the kips ai mobile app.
Business Value & Impact
Operational Efficiency
Mahi handles unlimited concurrent conversations, eliminating wait times during peak hours. Distribution companies can serve 3-5x more customers without increasing staff costs proportionally.
Higher Accuracy
The agent consistently applies pricing rules, promotional offers, and product specifications—eliminating human error and memory lapses that lead to order mistakes.
Revenue Growth
Proactive upselling increases average order values by 15-20% through timely offer suggestions customers might otherwise miss.
Customer Retention
Instant, consistent service quality at any time strengthens retailer relationships. Regional shop owners value reliable support in their native language.
Brand Consistency
Mahi maintains DS Group's brand voice with professional yet warm Hindi communication, ensuring every interaction reflects respectful, customer-centric service.
Why This Agent Works
Domain-Specific Design
Unlike generic chatbots, Mahi operates within carefully defined guardrails. She never invents prices, always uses feminine linguistic markers, and strictly follows formal Hindi conventions that match B2B retail etiquette.
Real-World Adaptability
The prompt anticipates complexity: handling ambiguous requests with clarifying questions, recognizing diverse measurement units, and managing conversational interruptions naturally.
Human-Centered Approach
Mahi prioritizes order accuracy and customer satisfaction over speed. She takes time to confirm details before finalizing transactions, building trust through careful attention.
Cultural & Linguistic Precision
Deep integration of Hindi conventions, respect markers (जी, कृपया), and regional business norms makes Mahi feel like a trained local sales representative—not a robot.
This combination of catalog integration, dynamic pricing logic, and culturally intelligent conversation design transforms Mahi from a basic chatbot into a trusted ordering partner for India's retail distribution ecosystem.
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