Booking data analysis
Separate booking data joined into one model showing what customers book together and which add-ons to suggest.
View case studyKnow what needs building first.
An independent look at how your business really runs, and a plain plan for where AI should go first - and where it shouldn't.
Plain language, in the right order, with what to do first set out clearly.
Contents
We audit where your time goes.
And say plainly what is best left alone.
Starting with the highest ROI activities.
Less than most people expect - a handful of conversations and a few follow-up questions, spread out so nobody’s week breaks. The heavy lifting happens on this side.
No. The output is written so that any competent team could work from it, including one that is not this one.
Then the audit says so, plainly, and you have spent a fraction of what a failed build would have cost. You still keep the map.
Read-only access to the systems where the work happens, granted by you and revoked whenever you like. Anything sensitive can be left out of scope from the start.
Separate booking data joined into one model showing what customers book together and which add-ons to suggest.
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A technical clean-up, new pages and a clean product feed, so an e-com brand shows up in Google, Shopping and AI answers.
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A bespoke Shopify pre-order app, catching sales from customers who would otherwise have ordered elsewhere.
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