INDUSTRY CASE STUDIES
REAL TASKS.
REPORTED RESULTS.
Published customer stories from Gorgias and Algolia. Each result belongs to the named business and its setup. Your pilot gets its own baseline and success criteria.
A planning scenario, not a client result. The timings are assumptions to test on your products. Setup, software, and extra quality checks add costs. Time freed is capacity; it becomes a cash saving only when actual costs fall.
THE AI OPPORTUNITY SPRINT
START WITH A
CLEAR DECISION.
Before adding another tool, find where AI could earn its place. We review your workflows, data, and systems with your team.
01 / Map the opportunity
Prioritize what to do first, what needs preparation, and what can wait.
02 / Understand the cost
Estimate setup effort, software, usage, and ongoing maintenance.
03 / Define the pilot
Choose one workflow, a responsible owner, and clear measures of success.
You keep the plan. We agree the sprint fee and dates upfront. Implementation is scoped separately.
FEATURED INDUSTRY CASE / GLAMNETIC
CHANGE THE ADDRESS.
BEFORE DISPATCH.
An address correction can arrive while an order is heading to fulfilment. Glamnetic connected its AI agent to Shopify and ShipMonk so it could check order status, collect the details, and make an eligible change after customer confirmation.
The useful lesson: the workflow needs clear order rules and a working fulfilment connection, as well as a good answer.
For your store: start with one order-change type and agreed eligibility rules. Measure completion before dispatch, incorrect changes, and handovers. The four-step pilot above is an illustrative ZAGO approach inspired by the published case.
SHOPIFY EXPERIENCE, PUT TO WORK.
From beauty and interiors to jewellery and e-bikes, we build around how each business works. Our AI service brings that same Shopify experience to your next operational challenge.
Questions before you start
Often, the right starting point is a capability you already have. We assess Shopify and your existing tools before recommending more software. Some tasks are better handled by straightforward rules and automation.
We discuss your store, the task taking up time, its frequency, and the systems involved. Bring one concrete example. We will explain whether a sprint is useful or a smaller known improvement is the better next step.
The sprint is a paid engagement with a fixed scope and fee agreed in advance. A pilot has its own implementation quote. Software subscriptions, usage charges, and any ongoing support are shown separately.
Timing depends on the workflow, data quality, and access to your systems. We agree the sprint dates before starting and provide an implementation schedule when the pilot scope is clear.
Yes. The assessment identifies missing, inconsistent, or outdated information and the work needed to make it usable. Significant data cleanup is scoped separately before implementation.
We agree which data and systems the workflow needs, use appropriate access permissions, and define approval points before rollout. Your team owns business decisions and the accuracy of its source information.
We record a baseline and agree acceptance criteria before building. Depending on the workflow, we measure time, correction rates, reliability, running costs, and adoption. We review those findings before expanding the work.
Account access, configuration, code, documentation, and licence terms are covered in the scope. Your team receives a handover. Ongoing monitoring and improvements are available through a separately agreed care plan.
LET’S FIND YOUR FIRST USEFUL AI PROJECT.
Start with a 30-minute conversation with a ZAGO consultant. Bring your store and one task your team would like to improve.
Prefer to write? Send us your store and the workflow you have in mind.