Recode-and-Rewind

AI-Driven Conversational Sales Agent for Retail

Overview

This project aims to revolutionize the retail sales experience by deploying an AI-driven Conversational Sales Agent that seamlessly operates across online and physical channels. The Agent emulates a top-tier human sales associate through natural, personalized dialogue and orchestrates specialized Worker Agents to manage tasks from product discovery to checkout and post-purchase support. This unified conversational journey increases customer satisfaction, Average Order Value (AOV), and conversion rates by anticipating needs and offering tailored recommendations across all customer touchpoints.

Problem Statement

Retail customers experience fragmented interactions when moving between online websites, mobile apps, messaging platforms, and physical stores. This disjointed experience results in missed up-sell and cross-sell opportunities due to limited bandwidth among sales associates. The lack of a seamless, personalized, and emotionally intelligent engagement detracts from maximizing sales and customer loyalty.

Key challenges include:

1. Fragmented multi-channel customer journeys
2. Limited human resource capacity to maximize personalized selling
3. Inadequate session continuity across channels
4. Difficulty in providing real-time, contextual product recommendations
5. Missed opportunities for up-sell, cross-sell, and loyalty building

Our Solution

We deploy an AI-driven Conversational Sales Agent designed to emulate a top-tier human sales associate with natural, personalized, and emotionally intelligent conversations. The system operates seamlessly across online websites, mobile apps, messaging platforms, and physical in-store kiosks, delivering a consistent and unified customer experience.

Core Features

1. Human-like interaction with personalized, warm, and emotionally intelligent dialogue
2. Seamless omnichannel operation to maintain session continuity across online, app, messaging, and physical store touchpoints
3. Specialized Worker Agents dedicated to handling product discovery, personalized recommendations, payment processing, fulfillment, and post-purchase support
4. Real-time inventory checks and offering multiple payment options for convenience
5. Automation of routine inquiries and sales processes to alleviate sales staff bandwidth constraints
6. Proactive, personalized product recommendations to boost Average Order Value (AOV) and conversion rates
7. Post-purchase conversational feedback collection to drive continuous improvement and retention

Benefits

1. Improved conversion rates and increased AOV through tailored upsell and cross-sell
2. Strengthened brand loyalty via personalized and emotionally intelligent interactions
3. Consistent customer experience across all sales channels without fragmentation
4. Operational efficiency by automating repetitive sales tasks, freeing human associates for high-value engagements
5. Enhanced customer convenience with flexible fulfillment, payment options, and instant inventory availability

Architecture and Technology Stack

1. Conversational Sales Agent Core: Natural Language Processing (NLP) and AI driving human-like dialogue
2. Specialized Worker Agents: Modules for recommendations, inventory, payment, fulfillment, post-purchase support, loyalty, and offers
3. Session Continuity Module: Maintains multi-channel context and seamless conversation resumption
4. Databases: Customer data, order histories, inventory, offers, and interactions
5. Integrations: Payment gateways (Razorpay SDK), logistics, notification systems

Technologies Used

1. AI/ML: Agentic AI, Google Gemini, PyTorch, AI LTM for advanced AI capabilities
2. Backend: MySQL database, Python modules (smtplib, requests, pathlib, dotenv
3. Frontend: HTML, CSS, JavaScript for web and mobile interfaces
4. Payment Integration: Razorpay SDK
5. Deployment: Supports omnichannel including websites, mobile apps, messaging platforms, and in-store kiosks

Unique Selling Points (USPs)

1. Scalable Automation: Frees human resources by automating routine inquiries and sales
2. Unified Experience: Consistent and seamless customer engagement across all touchpoints
3. Human-like, Emotionally Intelligent AI: Drives customer satisfaction and loyalty through personalized interaction
4. Real-time Data Access: Instant inventory checks and payment flexibility
5. Agent-Oriented Design: Specialized Worker Agents ensure smooth task orchestration
6. Session Continuity: Keeps context across channel switches, eliminating fragmented experiences

How It Works

1. Customer Engagement: The Conversational Sales Agent initiates dialogue on any channel (web, app, messaging, in-store).
2. Task Orchestration: Worker Agents handle specific tasks such as product recommendations, payment processing, and order fulfillment.
3. Personalized Interaction: AI anticipates needs based on customer profile, past behavior, and real-time inventory.
4. Seamless Transition: Customers can switch channels without losing session context.
5. Upsell & Cross-sell: Agent proactively suggests relevant products and offers.
6. Post-Purchase Support: Automated follow-ups collect feedback and offer loyalty rewards.

Team & Contact

Harshvardhan Khaitan Amey Sharma

This project represents a breakthrough in retail sales automation, delivering a unified, data-driven, emotionally intelligent, and scalable solution that maximizes customer engagement and revenue potential.