Policy and catalog knowledge base
Shipping, returns, sizing, and product details cleaned up and loaded, so answers match what your store says today.
AI chatbot for ecommerce stores that looks up orders, shares tracking, and starts returns from chat.
24/7
Order and tracking answers
100%
Order answers from live data
Teams we have built for:








The Problem
It shows up the week a sale ships late. Shoppers ask where their order is, how to return it, and how to fix an address. A generic bot sends them to a form.
01 · Tracking links
Your bot answers order questions with a shipping policy link.
Status, tracking links, and delivery dates come from your live order data.
02 · Double tickets
One unanswered question turns into two support tickets.
Shoppers get the answer in the chat, not a link to a form.
03 · Returns
Return requests wait because the bot can't check the window.
Returns follow your return window, final-sale list, and fulfillment status.
04 · Address fixes
An address fix arrives after the label has printed.
Edits follow your fulfillment status, and judgment calls go to your team.
A shopper types their order number into your chat and asks where the package is. Your bot replies with a link to the shipping policy. They ask again, get the same link, and email support instead. Now one question is two tickets. Meanwhile, a return request waits because the bot can't check the return window, and an address fix arrives after the label printed. Your team spends the day typing answers your store already knows.
We start with your tickets, not a demo script, and tag a sample to see which questions live data can answer. Then we build the chatbot on your store's order API and load your policies and catalog. We also write the rules for returns and address changes. When a request needs judgment, the chat moves to your team with the order attached. Shoppers get answers in the chat, not a link to a form.
Live order lookups
Status, tracking links, and delivery dates come from your store's order data at the moment a shopper asks.
Actions inside your rules
Returns and address changes follow your return window, final-sale list, and fulfillment status.
Handoff with the order attached
When a shopper needs a person, the chat moves to your helpdesk with order details and history.
Our AI Chatbot for Ecommerce Process
Every step of our AI chatbot development service for ecommerce ends with something you review: the ticket analysis, the answer rules, a staging bot, and test scores.
We tag a sample of your recent tickets and chats by topic: order status, returns, address changes, products, and edge cases. You see which ones a bot can answer from your data. If your helpdesk's built-in bot already covers them, we'll tell you before we quote.
What's Included
Every project covers the knowledge base, order lookups, the chat widget, handoff, testing, and tuning. Larger plans add returns, address changes, storefronts, and languages.
Compare Options
An off-the-shelf AI chatbot platform for ecommerce is quicker and cheaper for simple stores. A helpdesk add-on keeps everything in one tool. A custom build pays off when order data and return rules decide the answer.
| Feature | DeveloperLookBest fit | Chatbot app | Helpdesk AI add-on |
|---|---|---|---|
| Upfront cost | From $1,400, one-time | Low or none | Low or none |
| Ongoing fees | Model and hosting fees | Monthly plan, often capped | Per-resolution or add-on fees |
| Time to launch | 2 to 9 weeks | Same day to a week | Days, if you already use it |
| Order lookups | Live, through your store's API | Common on Shopify, varies elsewhere | Through its store integration |
| Returns and address changes | Inside your own rules | Limited to built-in flows | Depends on plan and platform |
| Policy edge cases | Written into the answer rules | Generic settings | Configured inside the tool |
| Handoff to your team | Into your helpdesk, with order context | Often its own inbox | Native, inside the helpdesk |
| Ownership and data | You own code and prompts | Vendor's platform and terms | Tied to your helpdesk plan |
Projects We've Built
Online stores we designed and built for clients. A store chatbot depends on the same groundwork: clean product data, reliable order APIs, and fast pages.
What Our Clients Say
Feedback from teams we have built integrations, automations, and software for.
Before this project, keeping our inventory accurate was exhausting. We had information sitting across different systems, and our team was constantly checking and updating things manually. The team helped connect our store with the systems we rely on and built a much cleaner inventory workflow. What stood out to me was how seriously they took the little operational details. They didn’t just build something and disappear. They listened, fixed the messy parts, and made our day-to-day work noticeably easier. That alone made the project worth it for us.
DeveloperLook completely transformed how we handle recurring revenue. Before working with them, we were manually chasing payments every month and losing clients to failed billing. They set up our entire Stripe subscription system, including dunning logic and a self-service portal, and the difference was immediate. Involuntary churn dropped, cash flow became predictable, and our team stopped wasting hours on billing admin. Genuinely one of the best investments we have made for our SaaS.
The biggest issue for us was the amount of time our team was spending on questionable orders. Someone would flag an order, then another person would check the address, payment details, phone number, and sometimes even contact the customer. It became part of the daily routine, especially when order volume picked up. DeveloperLook helped us rethink that process and put clearer checks in place before an order reached our team. What I liked most was that they didn’t just recommend a tool and leave us to figure it out. They actually worked through the setup with us and explained why each part was there.
1,000+
Projects shipped
10+
Years of experience
Top 3%
Upwork Top Rated Plus
5 stars
Average review score
Work Culture
Your chatbot talks to shoppers late at night with nobody watching. These habits shape every store chatbot we build, from the ticket review to the last week of tuning.
The bot checks your store's live order record before it says anything about a delivery. Shoppers get the real status, not a polite guess that becomes a second ticket.
We write your return window, final-sale items, and exchange rules into the bot's instructions. It sticks to your policy, even when a shopper pushes for an exception.
Order details appear only after the shopper confirms their email and order number. Your customers' addresses and purchases stay private in a public chat.
We measure your store's mobile speed before and after the widget goes in. If the chat slows your product pages, we fix the loading before launch.
Handed-off chats land in your helpdesk with the order and transcript attached. Your agents pick up where the bot stopped, and shoppers don't repeat themselves.
You own the code, the prompts, and the knowledge base we build. If you switch platforms or model providers later, the work carries over.
Overview
DeveloperLook builds an AI chatbot for ecommerce that looks up live orders, shares tracking, starts returns, and changes addresses within your rules. Each ecommerce chatbot includes a knowledge base from your policies and catalog, a light chat widget, and handoff to Gorgias or Zendesk. Projects start at $1,400, go live in 2 to 3 weeks, and you own the code.
DEVELOPERLOOK
Project facts · AI Chatbot for Ecommerce
Reviewed 28 Sep 2026 by Saimul Islam
Good fit
Stores buried in where-is-my-order tickets
Your inbox fills with order status questions every morning, and each answer means an agent copying a tracking link from your store admin.
Brands with strict return and exchange rules
You sell final-sale items, bundles, or made-to-order products, and you need a bot that checks the return window before it promises anything.
WooCommerce, BigCommerce, and Magento stores
Your store isn't on Shopify, and the chat apps you tried can't read your orders. You want a bot built on your platform's order API.
Teams already running Gorgias or Zendesk
Your agents work in Gorgias or Zendesk, and you want every handed-off chat to arrive there with the order and conversation attached.
Agencies adding chat to client stores
You run stores for clients and need a white-label partner to deliver an AI chatbot solution for ecommerce under your agency's name.
Not a fit
Shopify app may be enough
You're on Shopify and first want to know whether a Shopify App Store app is enough. Our Shopify AI Chatbot page compares apps with a custom build.
Ticket queue, not chat
You want AI to work through your email and ticket queue on its own, not a chat widget. Our AI Customer Service Agent Development page covers that.
Helpdesk needs setup first
Your helpdesk itself needs setting up or replacing before any bot goes in. Start with our Helpdesk Setup and Migration page, then add chat.
Few order questions
Your shoppers ask a few simple questions and rarely ask about orders. A good FAQ page or your helpdesk's built-in bot costs less than our $1,400 starting project.
Not sure we're the right fit?
Send a two-line brief. We'll tell you honestly whether we're the right team.
Pricing
These are starting points in USD. Your final price depends on your platform, the chatbot's actions, and storefront count, and you get a fixed proposal after a free ticket review. Model and hosting fees are separate.
For stores that need order status, tracking, and policy answers in chat on one storefront.
$1,400one-time, USD
For stores that want returns and address changes handled in chat, with live handoff to agents.
$3,600one-time, USD
For brands with several storefronts, markets, or languages that one chatbot must cover.
$6,200one-time, USD
For Agencies
You own the client relationship. We supply the chatbot engineering behind it: policy rules, order lookups, helpdesk handoff, and testing on real tickets. Every bot ships under your agency's brand, with handover notes your team can support.
White label: your client only ever sees your brand
Send the store platform, the helpdesk, and the ticket topics the client wants handled.
You get a fixed price, a timeline, and answer rules you can present.
We build, test, and document the chatbot under your brand, then support your team.
We work under your brand, so the client relationship and retainer stay yours.
Fixed scope and milestones per store, with a staging bot before launch.
Shopify, WooCommerce, BigCommerce, and Magento clients handled by one team.
Bring us in for one client's chatbot or a full support rollout.
The Right Technology for Your Project
We pick the model, the store connection, and the helpdesk link that fit your platform, your privacy rules, and your budget. These are the tools we use most.
FAQ
Straight answers on cost, order lookups, returns, page speed, and helpdesk handoff.
Saimul IslamFounder & CEO, DeveloperLookStill have questions?
Send a message or book a call with the team.
An ecommerce AI chatbot from DeveloperLook starts at $1,400 for policy answers and verified order tracking on one storefront. Returns, address changes, and live handoff to Gorgias or Zendesk come with the $3,600 plan. Multi-store and multi-language assistants start at $6,200. Model and hosting fees are billed separately, and your price is fixed after the free ticket review.
A store chatbot that answers order and policy questions goes live in 2 to 3 weeks. Returns, address changes, and live helpdesk handoff take 4 to 6 weeks, and multi-store builds take 6 to 9 weeks. The slowest part is usually settling policy edge cases, such as final-sale items, preorders, or orders that already shipped.
An AI chatbot can answer product and policy questions, look up orders, share tracking links, and start returns or address changes from chat. It works from your store's live data and written policies, so its answers match your admin. When a request needs judgment, such as a damaged item, it hands the chat to your team with the order attached.
Yes, the chatbot reads each order from your store's API after the shopper confirms their email and order number. It shows the order status, the carrier, the tracking link, and the delivery estimate your store has on file. If an order has no tracking yet, the bot explains what happens next instead of guessing a date.
Yes, a store chatbot can do all three within the rules you set. Before it starts a return or changes an address, it checks the return window, final-sale items, and fulfillment status. Once a label prints or an order ships, it hands the request to your team. Order edits, such as swapping a size, come with the Multi-Store Assistant plan.
It isn't trained in the usual sense: the chatbot reads from three sources you control. Your policies and help pages sit in a searchable knowledge base, and product details sync from your catalog on a schedule. Order data is read live from your store's API. When you update a policy, the next answer uses the new wording.
The cut depends on how many of your tickets ask about orders, returns, and policies that store data can answer. In the free ticket review, we tag a sample of recent tickets so you see that share before you commit. After launch, the weekly report shows resolved chats and handoffs against your real volume.
No, not when the widget loads after your page content, which is how we build it. The chat script stays off the critical rendering path, and we compare your mobile PageSpeed score and Core Web Vitals before and after install. If the numbers drop, we fix the loading before launch, not after shoppers notice.
Yes, the chatbot hands the conversation to Gorgias or Zendesk as a ticket or live chat, with the transcript attached. The order number and the shopper's question travel with it. Handoff happens when a shopper asks for a person, when the bot is unsure, or when a rule requires a human. Other helpdesks connect through email or their APIs.
We tune it for 30 to 90 days, depending on your plan, and you own everything from day one. Each week, we read the chats that ended in handoffs or complaints and fix the answers behind them. Before busy seasons, we update the rules for shipping cutoffs and return windows. After tuning, your team runs it with our handover notes.
Saimul IslamFounder & CEO, DeveloperLookStill have questions?
Send a message or book a call with the team.
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