Four recurring workflows run against the live store, lifting conversion from 0.8% to 1.1% in 30 days.
Creative Bag Storefront Fix Agent
A retailer with no developers shipped six or more changes in weeks, work that had sat in an agency queue.
Nobody at this company writes code. The COO ships storefront fixes anyway, generated from its own error data.
What the agent does
Turns the store's own error and speed data into deployable code, so a company with no developers can raise and ship a storefront fix.
- Brand
- Creative Bag
- Built by
- Creative Bag, in-house, with no developers
- Contributed by
- Noibu (AI for ecommerce operations)
- Industry
- Retail, CPG
- Audience
- B2B
01
The problem
Why this exists
A retailer with no developers cannot fix its own storefront. Work queues at an outside agency, and the queue is long enough that most defects are simply lived with.
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The deeper problem is that nobody knows which defects matter. Creative Bag's previous tool never surfaced the 1,000,000+ silent JWT 404 errors or 246 checkout JavaScript errors, so even the decision about what to send to the agency was being made without evidence.
02
Outcomes
What changes when this is in place
- Two agent-generated fixes were validated and shipped to production: one improving homepage banner load speed, the other resolving a break in coupon analytics at checkout.
- Six or more major changes shipped in the COO's first weeks, work that had previously sat in an outside agency queue, with no developer involved.
- Noibu surfaced more than 1,000,000 silent JWT 404 errors and 246 checkout JavaScript errors that the previous tool never showed, plus $176,000 a month in recoverable mobile revenue identified during a 2-week evaluation.
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- The operating change is the result: a lean team moved from reacting to customer complaints to shipping data-driven fixes the same day.
03
How it works
Architecture
The agent runs on the brand's side. It connects to Noibu over the Model Context Protocol through Noibu's hosted MCP connector, authenticating with the brand's own Noibu credentials and querying the data directly through the open endpoint.
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Noibu is a read-only data source the brand's agent calls. That boundary is deliberate and it is what makes the arrangement safe: the data platform cannot change the storefront, and actions such as opening pull requests run through the brand's own GitHub under the brand's own control.
Noibu's prebuilt Performance and Bug Resolution agents are the foundation the COO built on rather than a finished product he ran. Howie Shapiro, COO, built and operates the agent himself; Creative Bag has no in-house developers.
Open standards used
Model Context Protocol (MCP)
Tech stack
Noibu hosted MCP connectorNoibu Performance and Bug Resolution agentsBigCommerceGitHub
Resources
Next step
Request an intro
Noibu is behind this solution. Ask about shipping fixes without a dev team, and the MACH Alliance will put you in touch with the person who can answer.
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Everyone credited on this solution
- NoibuAI for ecommerce operations
Every organization named here has a page listing the rest of its work on the Hub.
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Verification
Published case study
The detail on this page is drawn from a case study published by the contributor or the MACH Alliance. Any figures on this page are the ones that case study states.
Where this came from
Solution detail is published from the contributor's 2026 Agent Ready submission to the MACH Alliance. Submitter names and contact details are not published.
Status: Live in productionAdded Jul 8, 2026A listing is an editorial decision, not a MACH Alliance certification.
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