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MnT Future
AI search & recommendations

Turn the traffic you already have into revenue.

The fastest ROI in AI commerce. Search that understands meaning, personalized recommendations, and a conversational shopping assistant: already built, fitted to your catalog in two weeks, with evaluation gates that prove the lift.

01AI search that gets intent
02Personalized recommendations
03Shopping assistant
04Live in two weeks

What is AI Search & Recommendations?

It's the AI half of a commerce build, sold as its own two-week phase. Natural-language product search that understands synonyms and typos, a recommendation engine that personalizes to "segments of one," and a conversational assistant that helps shoppers find and buy: all of it already built as product, so the two weeks goes on fitting it to your catalog and instrumenting the lift, not on writing it. Most brands then carry straight on into their storefront; the AI is already working by the time it lands.

What we build01 / 03

What we build

01

AI search that understands meaning

Shoppers search in their own words, with typos, and still find the right products. Meaning, not just keywords.

02

Personalized recommendations

A recommendation engine that personalizes to "segments of one": the right products for each shopper, on every page.

03

Conversational shopping assistant

An AI assistant that answers questions, narrows choices, and guides shoppers to checkout, like your best salesperson, 24/7.

04

Proof of lift, measured

We measure conversion and revenue before and after every AI change, so you see real lift, not vibes.

05

Built on a platform that exists

The engine, the AI layer and the admin are already built and running: which is why this is two weeks of fitting rather than months of building.

06

Know what to promote next

Search and recommendation data shows what shoppers want: what to promote, and what they're searching for but not finding.

Why MnT Future02 / 03

AI that pays for itself: measured.

We don't add AI for a press release. We add it where it lifts revenue, and we prove the lift with evaluation gates.

01Smart search converts roughly 4× better than keyword search: a direct revenue lever.
02AI personalization lifts revenue by around 40% by matching products to each shopper.
03Live in two weeks: the search, recommendation and assistant layers already exist; we fit them to your catalog rather than build them.
04Every change is gated behind evaluations and instrumented: measured impact, not hype.
How we engineer compliance
How we work03 / 03

Discovery, build, certify, scale.

A senior-led delivery model built for revenue-critical commerce: predictable and transparent.

01

Discovery

We map the workflow, the constraints, and the compliance surface before a line of code.

02

Build

Senior engineers ship in two-week sprints. You see working software, not status decks.

03

Verify

Security and compliance are tested as we go (ADA/WCAG, PCI DSS, SOC 2 controls), never bolted on at the end.

04

Scale

We harden, instrument, and hand over, or stay on as your embedded product team.

FAQ

Questions buyers ask us first

Live in two weeks from a signed scope and access to your catalog. It's quick because we're not building the AI: search, recommendations and the assistant already exist as a product; the two weeks goes on fitting them to your catalog and instrumenting the lift. Because it works on the traffic you already have, the ROI shows up soon after. The clock runs on both sides, though: we need the scope signed and catalog access at kickoff, and change requests get their own scope and timeline.

It runs on our platform, not on top of your existing one: we'd rather say that plainly than sell you a drop-in that isn't. In practice the Starter is the first two weeks of a build: your AI layer goes up on our engine with your catalog in it, and if it earns its place your storefront follows in the fortnight after. If you want to test AI on the store you already have without moving anything, start with a free agent-readiness audit instead: that one genuinely works on any store.

We instrument conversion and revenue and put evaluation gates around every AI change. You get a clear before/after on lift: we treat it as a measurable engineering outcome.

We use the best model for each job and keep it swappable: you're never locked to one provider. Search, recommendations, and the assistant each use what performs best and safest for your data.

No: this converts human shoppers on your store. Agent-Ready Commerce makes your store sellable to AI shopping agents. Many brands start here, then add agent-readiness.

Next step

Convert more of the traffic you're already paying for.

Book a free strategy session and we'll show you where AI search, recommendations, and an assistant would lift your conversion, with a plan to measure it.