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E-commerce 10 weeks

AI Customer Support Agent: 85% Automation Rate for US E-commerce Brand

Built an AI support agent handling 5,000+ daily tickets with 85% automation rate for a US mid-market e-commerce company.

AI Agent Development RAG Implementation API Integration
Verified Results NDA Signed US-Based PM Fixed Price
85%
Automation Rate
Tickets resolved without human intervention
4 minutes
Response Time
Down from 6-hour average
$780K
Annual Savings
Reduced support team from 25 to 9 agents
85%
Automation Rate
Tickets resolved without human intervention
4 minutes
Response Time
Down from 6-hour average
$780K
Annual Savings
Reduced support team from 25 to 9 agents

The Business Challenge

ShopBridge was spending $1.2M annually on a 25-person support team. Response times averaged 6 hours and CSAT scores were declining quarter over quarter.

For many E-commerce organizations across the United States, this type of operational bottleneck is all too familiar. Manual processes, legacy systems, and disconnected workflows create compounding inefficiencies that cost both time and revenue — often without leadership having a clear line of sight into the true cost.

ShopBridge US needed a partner who understood the technical complexity and the business urgency. Delivery speed mattered, but so did long-term maintainability, security, and the ability to scale as the business grew.

Our Solution

We built a multi-agent AI system using GPT-4 with custom RAG on their product catalog, order database, and returns policy. The AI handles tier-1 tickets (order status, returns, product questions) automatically.

Our engineering team architected the solution with production scalability in mind from day one — not as an afterthought. Every component was evaluated against real-world load expectations, and the system was designed to handle growth without requiring expensive re-architecture six months after launch.

We maintained weekly video demos with ShopBridge US's leadership throughout the build. This meant no surprises at launch and full stakeholder alignment at every milestone. Every sprint delivered working, tested software — not just progress reports.

Our Approach

6-week build with 4 weeks of shadow mode alongside human agents. Only deployed autonomously after hitting 94% accuracy on our held-out test set.

How We Delivered It

Every TechVerse project follows a structured delivery process designed to minimize risk, maximize transparency, and get working software in front of stakeholders as fast as possible. Here's how we approached this E-commerce project:

1

Discovery & Scoping

2-week paid discovery sprint with ShopBridge US to map requirements, define acceptance criteria, and produce a fixed-price project plan. No surprises after sign-off.

2

Architecture & Technical Design

Senior engineers design the full technical architecture before writing production code. Every decision is documented and reviewed with stakeholders.

3

Agile Delivery in 2-Week Sprints

Working software delivered every sprint. Weekly video demos with ShopBridge US leadership kept all stakeholders aligned throughout the 10 weeks.

4

QA, Security & Performance Testing

Every feature is tested against acceptance criteria before it is considered done. Load testing and security review happen before any production deployment.

5

Launch, Handover & Support

Structured go-live with dedicated hypercare support. Full code ownership transferred to the client along with documentation, runbooks, and knowledge transfer sessions.

Measurable Business Impact

Results were measured against pre-project baselines established during our discovery phase. Every metric below reflects documented before/after comparisons, not projections or estimates.

85%
Automation Rate
Tickets resolved without human intervention
4 minutes
Response Time
Down from 6-hour average
$780K
Annual Savings
Reduced support team from 25 to 9 agents
650%
Return on Investment
Measured within 12 months of project launch
"

We went from drowning in support tickets to having our best-ever CSAT scores — at a third of the cost.

D
David Park
COO, ShopBridge US

Why This Project Matters

The E-commerce sector in the United States is undergoing rapid digital transformation. Organizations that invest in custom software and AI-powered automation today are building structural advantages that will be extremely difficult for competitors to close — lower cost structures, faster response times, and better customer experiences compounding year over year.

This project for ShopBridge US is a strong example of what's achievable when business requirements are clearly defined, technology choices are made deliberately, and delivery is structured around measurable outcomes rather than billable hours.

For US companies in the E-commerce space evaluating similar investments: the ROI case is typically clearer than expected, and the risk is manageable with the right partner and the right contract structure. Fixed-price engagements with milestone-based payments and clear acceptance criteria protect both sides and keep projects on track.

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Project Details

ClientShopBridge US
IndustryE-commerce
Timeline10 weeks
ROI650%
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Technologies Used

GPT-4 Python FastAPI PostgreSQL Redis React

Services Delivered

AI Agent Development
RAG Implementation
API Integration
3 slots open · AI-first development

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