Manifest AI News: October'26

Welcome back to Manifest AI - News, your monthly product update.

Shoppers win more. Find more. Buy more.

Two updates this month, one makes your incentive game more strategic and a lot more fun for shoppers, and one makes sure every product search actually returns what the shopper meant to find.

Let’s dive in 👇

Spin the Wheel Upgrades - Your incentive strategy.

Spin the Wheel now gives merchants full control over the reward setup, choose how many slices, mark each one as Reward or No Reward, set the probability for each outcome, and customise the wheel and text colors to match the brand. Shoppers spin directly inside the chat and can copy their coupon the moment they win. The option to include no-reward slices means merchants can control incentive costs without killing the engagement, the spin itself is still fun whether or not every outcome pays out.

Use cases:

• Brands running seasonal campaigns who want a gamified incentive without giving discounts to everyone
• Merchants who've been running a flat discount and want to test a probabilistic offer instead
• Stores that want the wheel to match their brand palette, not a generic purple spinner
• Sales demos where showing a configured, branded wheel closes the "can it be customised?" question instantly

Why it matters:

• Probability control means merchants can protect margins while still running an engaging offer
• No-reward slices reduce incentive cost without removing the gamification hook
• In-chat spin + instant coupon copy removes any friction between winning and redeeming
• Brand-matched colors make the experience feel native, not bolted on

Smarter Product Search - "Red shoes under ₹1000" should return red shoes under ₹1000.

Product search now uses an LLM to decide how to query the database for every search — whether that means an exact keyword match or an intent-led approach, depending on the query and the type of store. Price range filtering happens at query time, not after, so "red shoes under ₹1000" returns exactly that rather than a broad set that gets trimmed down. Collection-level queries are significantly more accurate. Nothing changed on the UI — the improvement is entirely backend, and it's live for every merchant now.

Use cases:

• Fashion stores where shoppers search by color + category + price and expect precise results
• High-SKU catalogs where collection-level browsing was returning irrelevant products
• Brands whose AI credibility was being hurt by wrong-color or out-of-stock results showing up
• QBR conversations where you can show a before/after search demo without any setup

Why it matters:

• Irrelevant results are the fastest way to lose a shopper mid-conversation, this fixes it at the source
• Intent-led querying means the AI understands what the shopper meant, not just what they typed
• Price filtering at query time eliminates the most common search complaint merchants escalate
• No setup required, every merchant benefits automatically from day one

👋 That’s a wrap

You made it to the end - you’re now 5x more AI-savvy than you were 5 minutes ago.
Got feedback? Send us an email at support@getmanifest.ai, we read every single message.

Until next time,
Team Manifest AI