AI-Powered Support Chat

We created an AI-driven support layer that replaced fragmented workflows with one instant interface for faster, more accurate query resolution.

  • 60%

    faster support responses

  • 45%

    lower handling time

  • 70%

    fewer platform switches

  • 90%

    stronger answer consistency

TESS is an internal ecommerce support solution built to help service teams instantly access order, product, payment, and webshop information through one unified, AI-powered interface.

  • Industry

    E-commerce

  • Client Type

    Both

  • Market

    UK/Europe

  • Engagement Duration

    4 Months

  • Technologies

    OpenAI GPT API Python FastAPI MongoDB Qdrant RAG Magento API Docker Linux REST APIs Multilingual NLP Processing

  • Project Type

    AI Implementation & Data Engineering

planet-sec-title-arrow Key Features Delivered

  • Natural language query interface for support agents
  • Real-time order, product and payment data retrieval
  • Magento and PDE API integration for live operational data
  • MongoDB and Qdrant centralized indexed data layer
  • RAG-based architecture for grounded accurate responses
  • Single unified chat interface replacing multiple platforms
  • Multilingual query handling across regions and languages

planet-sec-title-arrow Business Challenge

Fragmented Magento, PDE, and DGE workflows forced support agents to manually retrieve order, product, and payment data, increasing response time, inconsistency, operational friction, and support scaling limitations.

planet-sec-title-arrow Objectives

  • Eliminate manual switching across Magento, PDE, and DGE
  • Reduce Average Handling Time for support queries
  • Build a centralized MongoDB and Qdrant knowledge layer
  • Deliver real-time order, product, and payment retrieval
  • Enable multilingual NLP across cross-region support workflows

planet-sec-title-arrow Our Approach

Discovery → Workflow Mapping → Data Architecture → Integration → Validation

Before building anything, we audited every agent workflow across Magento, PDE, and DGE, identifying where manual switching, retrieval gaps, and data fragmentation were costing response time. Only then did we design the RAG architecture, data layer, and NLP integration.

planet-sec-title-arrow Results & Impact

TESS replaced three-platform manual navigation with one RAG-powered chat interface, cutting Average Handling Time by 45%, reducing platform switches by 70%, and delivering 90% more consistent responses across multilingual ecommerce support operations daily.

Overall efficiency was improved through connected workflows and automation.

Complex business processes were simplified with customized platform capabilities.

It’s been a pleasure to have worked with Bytes Technolab. I am consistently impressed by their ability to execute tasks as requested. They are quick learners who tackle business challenges with effective software solutions. I really appreciate their timely responses and out-of-the-box recommendations.

Travis-C

Travis C

Head of Marketing, Ragnar

Long-term scalability was enabled through a flexible digital architecture.

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