pendoah

Inquiry Agent

Inquiry Agent

Transforming E-Commerce Support with AI Operations Platform

Inquiry Agent is an AI-powered customer support operations platform that automates repetitive e-commerce inquiries while maintaining human oversight and control.

With Pendoah as its development partner, Inquiry Agent built a production-grade SaaS platform that integrates real-time email monitoring, commerce intelligence, and structured AI workflows, achieving:

0 %

of routine inquiries automated

0 %

email coverage tracking

0 -7

live commerce data integration

0 %

SaaS architecture deployed

Market Context

The e-commerce customer support market is projected to reach $15 billion by 2028, yet most merchants struggle with high volumes of repetitive inquiries that overwhelm support teams and delay responses.

Industry data shows that 70% of customer support tickets are repetitive questions about order tracking, refunds, and subscription management. Support teams manually check Shopify orders, look up shipment tracking, and draft responses, leading to delayed communication and inconsistent customer experiences.

This gap between automation potential and manual operations presented a clear opportunity: build an AI-powered platform that handles routine inquiries with live commerce data while maintaining human oversight and governance. Inquiry Agent entered the market to meet that need, with Pendoah providing the technical architecture and SaaS platform execution.

The Challenge

E-commerce merchants face overwhelming volumes of repetitive customer inquiries, leading to delayed responses, inconsistent communication, and high agent workload.

The Vision

AI + Human Hybrid Operations

Automate routine inquiries while maintaining human oversight and control.

Live Commerce Intelligence

Integrate real-time Shopify and tracking data for accurate responses.

Enterprise-Grade Governance

AI guard rails, retry logic, and human feedback loops ensure reliability.

SaaS Marketplace Ready

Multi-tenant architecture with OAuth security and Shopify App Store integration.

Before & After

Before Inquiry Agent

After Inquiry Agent

User Personas

E-Commerce Merchants

Need automated support to reduce workload and improve response times.

Support Agents

Required unified interface for AI assistance and manual ticket handling.

Store Managers

Wanted visibility into support performance and AI effectiveness metrics.

Platform Administrators

Needed multi-tenant management with role-based access and governance.

Implementation Journey

01

Discovery & Requirements Architecture

Analyzed e-commerce support workflows to define AI automation scope and integration needs.

02

Core Platform & Integrations

Built Gmail API, Shopify OAuth, 17Track integration with multi-tenant architecture.

03

AI Engine & Governance Layer

Developed intent detection, response generation, guard rails, and human feedback loops.

04

Analytics & Role Management

Implemented store analytics, agent performance tracking, and role-based access control.

05

Marketplace Readiness & Production Launch

Prepared Shopify App Store listing, OAuth flows, and production deployment infrastructure.

Design Principles

Human + AI Collaboration

AI automates routine tasks while humans retain control and oversight.

Data-Driven Accuracy

Live Shopify and tracking data ensure responses are factual and current.

Enterprise Reliability

Retry logic, guard rails, and safety layers prevent failures and errors.

Complete Coverage

Every email tracked with resolution status prevents missed inquiries.

Continuous Improvement

Human feedback loop enables controlled AI calibration and enhancement.

Features & Modules

Real-Time Email Monitoring

Gmail API integration with push notifications and thread continuity.

AI Intent & Response Engine

Detects intent, maintains context, generates policy-aligned responses.

Commerce Intelligence Layer

Shopify orders, 17Track shipments, and live status integration.

Hybrid Workflow Management

AI auto-replies, manual responses, and resolution status tracking.

Analytics & Performance Metrics

Store-level and platform-wide dashboards with AI effectiveness KPIs.

Multi-Tenant SaaS Platform

OAuth security, role-based access, and Shopify App Store integration.

Competitive Landscape

Option
Limitations
Why Inquiry Agent Wins
Manual Support

High workload, delayed responses, inconsistent quality

80%+ automation with maintained quality standards

Basic Chatbots

No commerce integration, generic responses, no oversight

Live Shopify and tracking data with human oversight

Help Desk Software

Ticketing only, no AI, manual data lookup required

AI-powered automation with integrated commerce data

Lessons & Future Roadmap

What Worked

Integrating live commerce data enabled accurate responses. Human-in-the-loop feedback provided continuous AI improvement without sacrificing control.

Challenge

Balancing automation speed with response accuracy required careful AI guard rail implementation and testing.

Improvement

Multi-layer validation and retry logic strengthened reliability and prevented incomplete or inaccurate responses.

Next Phase

Conclusion

With Pendoah as its development partner, Inquiry Agent became a production-grade AI support operations platform that transforms e-commerce customer service, delivering measurable automation efficiency while maintaining human oversight, enterprise reliability, and data-driven accuracy.

For E-Commerce Businesses

Automate support while maintaining quality and control

For SaaS Founders

Build marketplace-ready AI platforms efficiently

For Enterprise Teams

Deploy AI with governance and reliability built-in

Let's Turn Your AI Goals into Outcomes. Book a Strategy Call.