AI Chatbot, Retail Tech Cellarco: AI-Enabled Interactive Learning Assistant
- IA PLANNING
- USER JOURNEY
- UX STRATEGY
- UX/UI DESIGN
- BRANDING
- TESTING
- iOS
- Android
About Cellarco
Cellarco is an AI-powered learning platform crafted for retail associates to gain knowledge and earn incentives while connecting with diverse brands and products. It offers engaging, interactive modules such as videos, product sheets, quizzes & feedback forms. The platform also enables brands to boosts sales contests where individuals or teams are rewarded for achieving top sales of particular products. To further elevate user support and simplify access to information Cellarco has incorporated an AI-driven chatbot to handle associate questions related to specific brands.
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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 adopted robust and reliable technologies, frameworks & tools to accelerate the development of advanced features and functionalities.
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Open AI
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Node.js
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Python
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Flask
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Fast API
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HTML5
The Need
Cellarco required an AI-powered chatbot that could automatically interpret user inquiries and respond using details from the app’s product listings and current offers. With integrations spanning platforms like Leaf and Kiva the key challenge was ensuring the chatbot responded accurately while maintaining each brand’s unique identity. Furthermore, the solution had to intelligently escalate conversations to brand representatives whenever specific information was unavailable.
Client Goals
Cellarco collaborated with Codiant - A Yash Technologies Company to build a conversational AI platform designed to elevate user interaction and simplify product knowledge discovery. Their main objective was to minimize the time users spend looking for information, improve learning outcomes for retail staff & ensure the chatbot accurately reflected brand-specific content across multiple product lines.
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Key Objectives
- Create a conversational AI chatbot with intelligent retrieval features.
- Deliver brand-specific responses with high contextual relevance.
- Achieve smooth integration with Cellarco’s existing learning system.
- Implement fallback support for unanswered questions directing them to brand experts.
- Offer live analytics tracking user engagement and chatbot interactions.
Mobile Visual Designs
Our UI/UX team crafted high-fidelity prototypes post low-fidelity sign-off featuring engaging interfaces and visually compelling layouts.
Development
The development team adopted a well-organized, phased methodology to guarantee successful execution aligned with Cellarco’s objectives. Core features were crafted specifically for each stakeholder group.
Smart Learning Companion
AI-powered assistant offers quick replies drawn from internal training resources.
Brand-Specific Knowledge Engine
Fetches accurate responses tailored to each brand’s unique information.
Contextual Learning Assistant
Supports learners with help across quizzes, videos & product materials.
Incentive Program Enhancer
Delivers key product data to boost performance in sales reward programs.
Instant Answer Delivery
Cuts down search effort, helping teams stay focused on customer service.
Built-In Platform Experience
Natively functions within Cellarco to ensure effortless navigation.
Integrated Compliance Notices
Displays important disclaimers alongside each AI-generated response.
Engaging Skill-Building Tools
Uses rewards, achievements, and quizzes to increase training participation.
Custom Learning Suggestions
Offers training content aligned with user activity and progress.
AI-Powered Brand Memory
Delivers customized AI responses based on brand-owned data and knowledge resources.
Smart Query Escalation
Redirects unresolved queries to brand teams for immediate human intervention.
Conversational Intelligence Hub
Analyzes chatbot activity, learning behavior & engagement metrics.
Tailored Data Reports
Creates actionable reports to fine-tune learning paths and sales performance.
Built-in Compliance Engine
Validates chatbot replies against internal policies and industry regulations.
Promo Impact Tracker
Monitors how promotions and reward programs influence overall performance.
Dynamic Content Control
Facilitates quick content updates to maintain up-to-date information.
Campaign Insights Engine
Delivers intelligent suggestions to enhance campaign reach and conversions.
Response Personalization Suite
Lets brands personalize chatbot outputs to reflect strategic communication.
Smart Content Sync
Keeps chatbot replies aligned with the latest brochures, documents & promotional videos.
Role-Based Access Setup
Empowers admins to assign specific roles and access rights to different user groups.
Intelligent Learning Engine
Improves chatbot performance through ongoing learning from user interactions.
Ready for Scale
Built to support additional brands and expanding digital asset collections.
Response Validation System
Tracks chatbot behavior and flags response mismatches for correction.
Interaction Log Monitor
Captures conversation history to support compliance & quality verification.
Training Impact Review
Analyzes user interaction data to reveal engagement gaps and training needs.
Tiered Admin Framework
Facilitates hierarchical permissions for efficient user and team oversight.
Self-Updating Architecture
Keeps the chatbot current with AI upgrades and updated knowledge bases.
Project Outcomes: Evaluating the Impact
The integration of the Conversational Retrieval Bot reshaped how both retail staff and shoppers accessed product details on the Leaf and Kiva platforms. With real-time, accurate & brand-aligned responses, Cellarco’s AI-driven chatbot has improved product awareness and boosted user engagement - empowering staff to increase conversions and nurture stronger brand connections. Notable results include:
- Retail teams and customers can now retrieve personalized product insights instantly, cutting down search time and improving task efficiency.
- The chatbot promotes ongoing engagement through real-time, interactive support helping users build a stronger grasp of product details.
- If the bot encounters a query it cannot resolve, the question is instantly redirected to the respective brand’s team, ensuring timely responses.
- Built-in disclaimers help clarify context around the provided information, building user confidence and credibility.
- The solution supports effortless scalability enabling quick onboarding of new brands and regularly updated product data.
Read More Case Studies
We extended our services to scale operations & services of our global clients. Team Codiant received much appreciation for quality solution offerings and successfully build a trustable relationship with each client.
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