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Operations
AI Ecommerce Operations
Routine store housekeeping, tagging, fulfillment checks and reports, gets done on schedule without tying up your team.
Every store has housekeeping that never ends: tagging new products, checking orders will ship on time, fixing missing attributes and pulling the weekly report. This agent takes that work on. It runs each task the same way every time against your rules, flags orders slipping past ship-by dates, and queues anything outside your approval rules for a named person to check.
- Products tagged and catalog gaps fixed the same way every time
- Orders slipping past ship-by dates flagged before customers notice
- Operational reports compiled without anyone assembling them by hand
$4,500
20–30 working days
Optional maintenance $249/mo
What it is
AI Ecommerce Operations is an agent that runs the routine back-office work of a store: tagging and categorizing products, checking fulfillment status against what was promised, catching catalog data issues, and compiling operational reports, acting directly inside your approval rules.
Why businesses buy it
Back-office tasks look small, but together they eat hours from the people who should be growing the store. When they slip, the costs show up later as mis-tagged products customers cannot find, late orders and reports nobody trusts. This agent handles the repetitive work reliably and leaves judgment calls to your team. It acts only inside the approval rules you set. The Scope Card lists the systems, tasks, rules and tests before you order, so you know exactly what it will and will not touch.
Problems this solves
New products sit untagged and miscategorised for weeks
The agent tags and categorizes products inside your approval rules. It works with read and write access to up to two systems, so changes land directly in your catalog.
Orders slip past the promised dispatch date without anyone noticing
Fulfillment status is checked against what was promised to each customer. Late orders surface for your team early, before the customer has to chase you.
Catalog errors such as missing weights or prices go live
The agent catches catalog data issues and flags or fixes them under your rules. Up to six workflows were tested across 50 documented scenarios before launch.
Weekly operations reports take hours to pull together
Operational reports are compiled by the agent from the connected systems on a regular rhythm. Your team reads the summary instead of building it by hand.
A good fit if
Your team spends real time each week on repetitive store housekeeping, such as tagging new products, checking fulfillment exceptions, or pulling the same reports by hand.
You have written rules for these tasks, such as tagging conventions or fulfillment thresholds, even if they currently live in someone's head or a spreadsheet.
You want this work actually done, such as a tag applied or a report compiled, not just flagged for someone to action later.
You sell through a platform such as Shopify, WooCommerce, BigCommerce or Adobe Commerce and can grant read and write access for up to two systems.
Not the right fit if
Your main need is customer-facing return handling rather than internal store operations. See AI Returns Agent, which processes return requests against policy and generates return instructions.
You want stock forecasting or pricing recommendations, not general operational housekeeping. See AI Inventory Intelligence, or AI Ecommerce Pricing Assistant.
You need more than two systems with write access, for example a warehouse system alongside your store and a reporting tool. Add a note at checkout for a Custom AI enquiry.
Your operational rules are still being worked out and change week to week. This build applies written rules consistently; bring a settled process first, or start with a Custom AI enquiry.
How it works
- We connect with read and write access to the up to two systems you choose, such as your store platform and a reporting or fulfillment tool.
- Routine tasks, such as tagging new products by category or attribute, are run against the rules you set, applied the same way every time rather than depending on who is on shift.
- Fulfillment status is checked against what was promised, such as ship-by dates, and orders slipping past the threshold you set are flagged before a customer notices.
- Catalog data issues, such as missing attributes or inconsistent naming, are caught and corrected where your rules allow, or queued for review where they do not.
- Recurring operational reports are compiled and delivered to the channel you chose, so status is visible without someone assembling it by hand each week.
- Anything outside your approval rules is queued for the approver you named, with the reasoning attached, rather than being applied automatically.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- Admin or API access to the connected systems, such as your store platform and your reporting or fulfillment tool, with sandbox or test records where available.
- Your written rules and playbook for the tasks in scope, such as tagging conventions, fulfillment thresholds and approval limits.
- Ten real examples of the routine tasks in question, such as past tagging decisions or fulfillment exception cases.
- The name of the approver for anything that needs a human decision before it is actioned.
- Your shipping, returns and refund policies, so operational checks stay consistent with what customers were told.
- Admin access and API keys for every connected system, shared by adding our team as a user or creating a key you control, never by email.
- Your business information (company basics, hours and brand voice), shared during intake.
- One decision-maker on your side who can approve the workflow rules before launch.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Intake verified, operational rules and approval limits agreed.
Weeks 1–2
Tagging, fulfillment-check and reporting workflows built.
Week 3
Store platform and reporting or fulfillment tool connected with read and write access.
Weeks 3–4
Fifty documented test scenarios run against your written rules.
Week 4
Your review and two rounds of changes to the approval rules.
Go-live
Live, recorded handoff session, support starts.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $4,500 |
| Express | 15–25 working days | $5,300 |
| Rush | 10–20 working days | $6,100 |
What you receive at handover
- AI Ecommerce Operations configured and working on one channel
- Read and write connections to up to two systems
- Up to six back-office workflows with your approval rules, using up to 100 reference documents
- A test report covering 50 documented scenarios
- An admin guide, the recorded 60-minute handoff and 30 days of post-launch support
Expected benefits and how to measure them
- Can take routine catalog and fulfillment checks off the team
- Helps catch data mistakes before customers see them
- Makes the weekly operations picture easier to get
- Staff hours on back-office tasks
- Ask the team to log time on tagging, checks and reports for a sample week before launch and after.
- Late dispatches
- Count orders shipped after the promised date each month from your store or fulfillment reports.
- Catalog errors found after publishing
- Count issues reported by customers or staff each month.
Before you start: Estimate weekly hours on product tagging, fulfillment checks and reporting. Count last month's late dispatches and known catalog errors.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build price is one-time. Running the agent afterwards costs roughly $50 to $250 a month, covering AI model usage plus hosting, on top of your existing store platform or reporting tool plan. Stores with a moderate volume of routine tasks tend to sit toward the lower end of that range.
AI usage during the build and testing is also billed to your own accounts, so every provider relationship stays yours. Nothing runs through us.
Ask about running costsCustom requirements
If you need a third connected system, more workflows, or a second language, add a note at checkout. You get a written Change Quote, and your original order still runs on its normal timeline. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
Monthly maintenance covers monitoring, fixes and change hours, enough to adjust a tagging rule or add a new report. It starts after the thirty days of support included in the build, bills monthly, and can be cancelled any month.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A store automation app charges a recurring subscription per task type | A custom agency quotes after discovery calls | Ours is one fixed price, shown before you buy |
| Scope | A store automation app gives you building blocks but you still assemble the rules yourself | An agency agrees scope during the project | Ours is written on the Scope Card before purchase |
| Delivery | A store automation app can be live the same day but rule building still takes real work | An agency usually takes several weeks, set per project | Ours has a fixed delivery time shown before you buy, with faster options |
| Decisions | A store automation app applies whatever rules you configure yourself in its interface | An agency build depends on what was agreed | Ours follows your written playbook and queues anything unclear for a person |
Questions about this product
What does the AI Ecommerce Operations build include?
It covers connecting up to two of your systems with the access the tasks need, building the operational workflows and approval rules, fifty documented test scenarios, two rounds of changes and a recorded handoff session. The fixed price and faster delivery options are shown on this page before you order, and every limit is written on the Scope Card.
How much does AI Ecommerce Operations cost to run each month?
Roughly $50 to $250 a month, covering AI model usage plus hosting, on top of your existing store platform or reporting tool plan. You pay that directly in your own accounts. Stores with a moderate volume of routine tasks and two connected systems typically land toward the lower end of that range.
How long does AI Ecommerce Operations take to launch?
Delivery follows a fixed schedule shown before you buy, with express and rush options if you need help before a busy season. The clock starts once your written rules, system access and sample tasks are confirmed, usually within 72 hours of ordering. You see the fifty test scenarios and their results before the agent acts on live data.
What kinds of tasks can AI Ecommerce Operations actually do?
Up to six workflows covering the routine work you define, such as tagging new products by category, checking fulfillment status against ship-by dates, catching catalog data issues, and compiling recurring reports. It acts directly within your approval rules, rather than only flagging tasks for someone else to complete.
What happens when a task falls outside the approval rules?
It is queued for the approver you named during setup, with the order or product details and the reason it did not clearly fit the rule attached. Nothing outside your written playbook is actioned automatically, so edge cases always reach a person rather than being guessed at.
Can I change the operational rules after launch?
Yes. Adjusting a tagging rule, a fulfillment threshold or adding a new report fits inside the monthly change hours included with maintenance. A third connected system or an entirely new workflow is handled as an add-on or a Change Quote.
Who owns the workflows AI Ecommerce Operations builds?
You do. The rule logic, the workflows and the connections live inside your own store platform and reporting or fulfillment tool once delivered. If you later change providers or bring the work in-house, nothing about the workflows is locked to us.
Guides on this topic
All guides Get the store housekeeping done without spending your team's week on it.
Order AI Ecommerce Operations and routine tagging, fulfillment checks and reports start running inside your approval rules on a fixed delivery date.
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