Home / AI Solutions / Ecommerce Support Automation
Help customers find answers without losing the support context.
Connect approved product and policy information to support workflows. Keep account access controlled and transfer complex issues with the information already collected.
★★★★★5.0· 57 client reviews
Overview
Ecommerce Support Automation, explained
Ecommerce support teams answer the same questions every day: where is my order, how do I return this, which size should I choose. Automation can resolve many of these instantly while giving agents more time for complex issues and sales opportunities.
We connect AI assistants to your store, order and shipping data and your helpdesk, so customers get accurate, personalised answers and agents receive drafted replies and summaries. Our commerce projects, including a UK food marketplace, a payment gateway platform and an AI shopper simulation app for Shopify stores, give us practical knowledge of commerce workflows.
Before you build
Decisions worth settling first
Settling these points early keeps scope realistic and makes the estimate meaningful.
01
Ticket categories
Analyse past tickets to find high-volume, automatable questions.
02
Data access
Confirm order, shipping, returns and product data sources.
03
Policies
Gather return, refund and delivery policies the assistant must follow.
04
Channels
Choose chat, email, social messaging or all of them.
05
Agent workflow
Decide how drafts and handovers appear in your helpdesk.
06
Measures
Agree resolution rate, response time and satisfaction targets.
Services
What our ecommerce support automation services include
Order status automation
Instant answers using live order and tracking data.
Returns and refunds
Guided returns that follow your policies and create cases.
Product guidance
Answers about sizing, compatibility and availability from catalogue data.
Agent assist
Drafted replies, summaries and suggested actions in the helpdesk.
Email automation
Classification and drafted responses for support inboxes.
Support analytics
Insight into contact reasons, trends and automation performance.
How it is built
The layers behind a dependable result
Every layer has an owner, tests and documentation, so the system can be supported after launch.
01
Customer channels
Chat widget, email and messaging integrations.
02
Commerce data
Connections to store, order, shipping and inventory systems.
03
AI assistant
Policy-aware answers, actions and escalation.
04
Helpdesk integration
Case creation, drafts and handover in your support tool.
Use cases
Where it helps
Online retailers
Reduce repetitive order and returns questions.
Marketplaces
Support both buyers and sellers with tailored answers.
Subscription brands
Handle delivery changes and subscription questions.
Food and grocery
Delivery slots, substitutions and freshness questions.
Electronics
Compatibility and warranty questions.
Fashion
Sizing, exchanges and returns.
Illustrative use case
An assistant can explain a return policy and collect the details needed by a human agent to review an exception.
Why PoliteTech
Why teams choose PoliteTech
Scope before commitment
Priorities, assumptions and acceptance criteria are agreed in writing before a delivery plan is fixed.
Engineers who build
Recommendations come from the people who design, code and support the software, so they reflect real implementation effort.
Visible progress
A shared backlog, regular demos and recorded decisions keep you informed without chasing updates.
Practical AI
Evaluation sets, review steps, cost limits and monitoring are part of every AI feature we ship.
Flexible engagement
Start with a scoped project, a dedicated team or support, and change the model as your roadmap evolves.
Clear ownership
Repositories and accounts can live in your organisation, with IP and confidentiality terms agreed in the contract.
Industries
Where this work fits
Retail and Ecommerce
Build web and mobile journeys around product discovery, ordering and customer service.
Financial Software
Support reporting, document processing and internal operations through defined application workflows.
Logistics Software
Connect planning, task assignment and operational updates in one workflow.
Education and Elearning
Create platforms for content, activities and progress tracking.
Fitness and Wellness Apps
Support tracking, coaching content and user engagement around a clear product goal.
Manufacturing Software
Replace fragmented tracking with workflows for quotations, work status and supporting documents.
Real Estate Applications
Create listing, enquiry and internal coordination tools around your business process.
Business Operations
Build task, approval and reporting tools around the way your team works.
Process
A practical path from requirements to release.
Each stage ends with something you can review: a scope, a prototype, a working increment or a release.
01
Understand
Discuss your users, business needs, existing systems and delivery constraints.
02
Define
Agree scope, technical approach, responsibilities and a delivery plan.
03
Design and build
Develop in manageable increments with visible progress and review points.
04
Test and release
Validate agreed workflows, resolve release blockers and prepare deployment.
05
Support and improve
Document the handover, review production feedback and plan the next priorities.
Technology
Tools and platforms we work with
ShopifyWooCommerceMagentoZendeskGorgiasFreshdeskIntercomOpenAIGoogle GeminiNode.jsPythonReactAWS
Cost
What shapes the cost of your project?
There is no useful price without scope. These are the factors we review when preparing an estimate, and the estimate lists every assumption so you can see what would change it.
01
Number of workflows
Each workflow needs its own prompts, tools, evaluation set and review design.
02
Data preparation
Cleaning, labelling, chunking and access rules often take more effort than the model itself.
03
Integrations
Connections to CRMs, ERPs, document stores and identity providers add design and testing work.
04
Evaluation and review
Building test sets, review queues and monitoring is essential for reliable results.
05
Model and hosting
Hosted APIs, open models and private deployment have very different setup and running costs.
06
Security and compliance
Sensitive data, audit needs and data residency add controls and documentation.
Engagement models
Choose the engagement that fits your next step.
Dedicated Team
For a changing roadmap or ongoing development. Agree roles and working process, then manage priorities through a shared backlog.
Best for team extension and long-term product work.
Scoped Project
For a defined product or milestone. Align on requirements, deliverables and acceptance criteria, with changes reviewed before they affect the plan.
Best for MVPs, integrations and focused releases.
Maintenance and Improvement
For software that already exists. Start with a technical review, then agree support routines and planned improvements.
Best for live applications and modernisation.
FAQ
Questions about ecommerce support automation
Which platforms do you integrate with?
Shopify, WooCommerce, Magento and custom stores, plus helpdesks such as Zendesk, Gorgias and Freshdesk.
Can it process refunds automatically?
It can prepare refunds within your rules; we usually recommend approval for higher values.
Will it recommend products?
Yes, based on catalogue data and the customer’s question, without inventing products.
How do agents work with it?
Agents see drafted replies and summaries and can approve, edit or take over.
Does it work in several languages?
Yes, we test key languages with your content and policies.
How do we measure success?
Through resolution rate, response time, satisfaction and agent workload.
Can we begin with a focused scope?
Yes. We can review your current situation and agree a bounded first engagement before a wider build.
How are pricing and timelines determined?
We review requirements, technical complexity, team needs and delivery constraints before proposing an engagement. Estimates list assumptions and what may change the plan.
Can we discuss a project under an NDA?
Yes. Let us know before sharing confidential materials so we can agree confidentiality terms first.
Our work
Commerce projects
E-commerce · Web · Shopify app
AI Shopper Simulation for E-commerce
A Shopify app that tests product changes on simulated shoppers built from a store’s own customer data, before anything goes live.
React NativeShopify appAstroPostHog
Commerce · Web
UK Food Marketplace
A marketplace connecting people with UK food producers, their products and the stories behind their brands.
AngularNode.jsFlutterAWS
FinTech · Cloud platform
Payment Gateway System
A cloud-based payment gateway with tools for managing the acquiring side of e-commerce.
Ruby on RailsAWSREST APIiOS
Discuss your ecommerce support automation needs
Share your goals, current situation and the help you need. We will review your message and suggest a practical next step.