Retail TechAI-Powered Conversational Learning Assistant
- IA PLANNING
- USER JOURNEY
- UX STRATEGY
- UX/UI DESIGN
- BRANDING
- TESTING
- iOS
- Android
About CellarCo
Cellarco is an innovative education platform designed for retail associates to learn and earn rewards while engaging with various brands and products. The platform provides interactive learning experiences, including videos, sell-sheets, quizzes, and surveys. Additionally, brands can run Boosts—sales incentive programs where associates or teams earn rewards for selling the most units of a specific product. To enhance user experience and streamline information retrieval, Cellarco integrated an AI-powered chatbot to assist associates with brand-specific queries.
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Client’s Location
United States
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Development Time
06-08 Weeks
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Target Users
Retail Associates, Store Managers, Brand Ambassadors, Distributors, Sales Managers
Technologies Leveraged
We utilized strong and secure technologies, tools, and frameworks in the app to speed up the development of new features and functionalities.
Open AI
Node.js
Python
Flask
Fast API
HTML5
The Need
Cellarco needed an automated AI chatbot capable of understanding user queries and providing responses based on the available products and offers within the application. With multiple platforms, including Leaf and Kiva, the challenge was to ensure that the chatbot delivered accurate, brand-specific responses. Additionally, the chatbot had to be able to handle queries and forward them to brand representatives when the information wasn’t available.
Client Goals
Cellarco partnered with Codiant — A Yash Technologies Company, to create a conversational AI-driven platform that improves user engagement and streamlines product information retrieval. The client aimed to reduce time spent searching for answers, enhance learning efficiency for retail associates, and ensure the chatbot handled brand-specific content across various brands.
Key Objectives
- Develop an AI-driven chatbot with conversational retrieval capabilities.
- Ensure brand-specific knowledge retrieval for precise, contextual responses.
- Integrate seamlessly with Cellarco’s learning platform.
- Enable fallback mechanisms for unanswerable queries, routing them to brand representatives.
- Provide real-time analytics on chatbot interactions and learning engagement.
Mobile Visual Designs
Our UI/UX designing team developed hi-fi prototype after low-fi approval, through attractive user interfaces and aesthetically appealing layouts.
Development
The development team followed a structured, phased approach to ensure effective implementation and alignment with Cellarco’s goals. Key functionalities were designed for different stakeholders:
Conversational Learning Assistant
AI-powered chatbot delivers instant answers based on training materials.
Multi-Brand Knowledge Base
Retrieves brand-specific information for accurate, tailored responses.
Interactive Learning Support
Guides users through videos, quizzes, and sell-sheets with contextual assistance.
Boost Program Insights
Provides product-specific details to enhance sales performance in incentive programs.
Real-Time Query Resolution
Reduces content search time, allowing associates to focus on customer interactions.
Seamless App Integration
Embedded within the Cellarco platform for smooth user experience.
Disclaimer Messaging
Ensures transparency by displaying disclaimers alongside chatbot responses.
Gamified Learning Experience
Encourages participation through quizzes, rewards, and achievements.
Personalized Training Recommendations
Suggests learning materials based on user progress and engagement.
Brand-Specific Embeddings
Enables tailored AI responses based on stored brand content.
Query Forwarding System
Routes unanswered queries to brand representatives for direct assistance.
Performance Analytics & Insights
Tracks chatbot interactions, learning engagement, and content effectiveness.
Custom Reporting & Insights
Generates data-driven reports to optimize training and sales strategies.
Automated Compliance Checks
Ensures chatbot responses align with brand guidelines and regulatory standards.
Boost Performance Monitoring
Tracks the impact of incentive programs and product promotions.
Brand Content Management
Allows easy updates to training materials, ensuring real-time knowledge accuracy.
Campaign Optimization Recommendations
Provides data-driven insights to refine marketing and sales initiatives.
Content Customization Tools
Enables brands to tailor chatbot responses to reflect unique messaging strategies.
Content Management Integration
Synchronizes chatbot responses with updated sell-sheets and videos.
User Access Control
Allows administrators to define access levels and permissions.
AI-Driven Feedback Loop
Enhances chatbot accuracy through continuous learning and refinement.
Scalability for Future Growth
Designed to accommodate new brands and expanding content libraries.
Error Handling & Quality Assurance
Monitors chatbot performance and detects inconsistencies in responses.
Audit Logs & Compliance Tracking
Maintains a record of interactions for quality assurance and regulatory adherence.
Training Module Performance Analysis
Measures engagement levels and identifies areas for improvement.
Multi-Tier Admin Controls
Enables structured role-based permissions for seamless management.
Automated System Updates
Ensures the chatbot stays up-to-date with the latest AI models and learning materials.
Project Outcomes: Evaluating the Impact
The implementation of the Conversational Retrieval Bot transformed the way retail associates and customers accessed product information across the Leaf and Kiva platforms. By providing real-time, accurate, and brand-specific responses, Cellarco’s AI-powered conversational chatbot has enhanced product knowledge and user engagement, helping associates drive sales and strengthen brand relationships. Key outcomes include:
- Retail associates and customers can now access tailored product knowledge instantly, reducing search time and enhancing workflow efficiency.
- The chatbot keeps users engaged with real-time, interactive learning assistance, fostering deeper product understanding.
- When the bot cannot provide an answer, queries are automatically forwarded to the appropriate brand representatives, ensuring no question goes unanswered.
- With disclaimer messages, users are informed about the context of the information, boosting trust in the platform.
- The solution is scalable, allowing for the seamless addition of new brands and evolving product content.
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