Case Study
AI Support Copilot for E-commerce
An AI assistant that helps support teams answer faster, reduce repetitive work, and improve customer experience.
An AI-powered support assistant built for e-commerce operations. It understands customer intents, retrieves order context from multiple systems, and drafts accurate, brand-aligned replies that agents can review and send with confidence.
The Challenge
- High and growing ticket volume across channels
- Repetitive questions on orders, shipping and returns
- Fragmented order and customer information
- Slow response times and inconsistent answers
- Agents spend too much time searching for context
The Solution
- AI-assisted reply generation grounded in real context
- Order-aware retrieval from multiple data sources
- Knowledge base lookup with brand guidelines
- Smart escalation suggestions for complex cases
- Human-in-the-loop review before sending replies
How It Works
Customer request
Customer sends a message via email, chat, or social media.
Intent detection
AI identifies intent, sentiment and key entities.
Knowledge & order retrieval
Fetch relevant articles, policies and order details.
AI response generation
Generate accurate, brand-aligned draft response.
Agent review
Agent reviews, edits if needed and validates the response.
Send & learn
Reply is sent and feedback is used to continuously improve.
Key Features
Ticket Summaries
Instant AI summaries of long conversations and context.
Suggested Replies
Context-aware draft replies ready for agent review.
Order Context
Real-time order details, status and tracking information.
Smart Escalation
Identify complex cases and suggest next best action.
Knowledge Search
Search across policies, FAQs and help articles.
Support Analytics
Dashboards to track volume, performance and trends.
My Contribution
Discovery & Requirements
Partnered with stakeholders to understand pain points, workflows and success metrics. Defined MVP scope and data needs.
Workflow Design
Designed end-to-end user flows, data architecture and retrieval strategy for accurate and efficient answers.
AI Solution Delivery
Led AI integration using OpenAI and LangChain, built retrieval pipelines and delivery of the support copilot.
Testing & Rollout
Validated with real tickets, trained agents and rolled out iteratively with continuous feedback loops.
Business Impact (MVP Outcomes)
Up to 60%
faster first-draft responses
Significantly reduced time to produce accurate reply drafts.
reduction in repetitive manual work
Agents spend more time on complex, high-value cases.
Improved support consistency
More consistent, on-brand answers across all agents and channels.
Better visibility into customer issues
Real-time analytics help identify trends and product or policy gaps.
Tech Stack
What Mattered Most
Accuracy & hallucination control
Grounding answers in reliable sources and order data to ensure accuracy and trust.
Human-in-the-loop review
Empowering agents with suggestions while keeping humans in control of customer communication.
Operational adoption
Simple UX, clear workflows and training to drive adoption and long-term impact.
Want something similar for your team?
Let's explore how AI can transform your customer support operations.
Start a conversation