Easelect. AI. Built for shopping.

An AI shopping research and product discovery platform designed around customer intent. Shoppers describe what they need, explore a focused shortlist, see why each product fits and compare retailer offers.

  • Web platform live
  • Mobile app launching soon

More choice needs better judgment.

A pile of near-identical product boxes, price tags and spec sheets beside a single chosen headphone case
  • Too many products to evaluate
  • Research scattered across multiple websites
  • Generic recommendations that overlook individual needs
  • Decision fatigue and uncertainty
  • Prices and retailer offers that are hard to compare

Conventional shopping means search, filter, browse, research, compare and decide, repeated across website after website. Easelect understands the need first, then recommends, with the evidence and the trade-offs in view.

From the need to the retailer, in six steps.

  1. Easelect app home screen asking what you are shopping for, with suggested searches

    Describe the need

    Explain what you are shopping for and what matters to you.

  2. Easelect asking a follow-up question about the style of headphones the shopper wants

    Clarify preferences

    Follow-up questions narrow the search around intended use, budget and preferences.

  3. Easelect explaining how it researched a recommendation, with the review sources it read

    Explore relevant products

    Review a focused shortlist and the reasons behind each recommendation.

  4. Easelect comparison table of two headphones by price, delivery, rating, battery and noise cancelling

    Understand the differences

    Compare features, suitability, strengths and trade-offs.

  5. Easelect price comparison listing retailers by lowest total price including delivery

    Compare retailer offers

    Review prices, delivery information and retailer options.

  6. Easelect product detail with price, delivery and a button to continue to the retailer

    Continue to the retailer

    Complete the purchase directly with the retailer you choose.

Saved preferences and favourites let shoppers return to their research over time.

How Easelect connects intent with evidence.

A high-level view of the architecture that links what the customer needs with product evidence and merchant data.

  1. 01

    User intent

    Captures what the customer needs.

  2. 02

    Intent engine

    Interprets goals, preferences and use cases.

  3. 03

    Planning and rules

    Sets the category, filters and research requirements.

  4. 04

    Product retrieval

    Connects merchant feeds and commerce APIs.

  5. 05

    Research and evidence

    Reviews product data, expert assessments and consumer feedback.

  6. 06

    Evaluation and scoring

    Assesses suitability across multiple signals.

  7. 07

    Commerce intelligence

    Considers price, location and availability.

  8. 08

    Personalised recommendations

    Returns a concise, relevant shortlist.

Built for web and mobile.

The Easelect web platform home page with a search box and suggested searchesThe Easelect web platform home page with a search box and suggested searches

Web platform

Available now at easelect.ai. Research any product from the browser.

Web platform live
Hands holding a phone showing the Easelect app home screenHands holding a phone showing the Easelect app home screen

Mobile app

A native app bringing Easelect research into the moment of purchase, wherever it happens.

Mobile app launching soon

Different products need different decisions.

Category-aware logic and agents are in development.

  • A laptop, smartphone, wireless earbuds, a USB-C cable and a smartwatch laid out on a light surface

    Electronics

    Performance, specifications, compatibility, reliability and value.

  • A folded knit sweater, white sneakers, a leather belt and sunglasses laid out on a light surface

    Fashion

    Size, fit, style, material, personal preferences and availability.

  • A phone case, a magnetic power bank, a watch strap, a charger and a cable pouch laid out on a light surface

    Accessories

    Compatibility, intended use and the products they need to work with.

Initial priority market
United States
Availability, shipping eligibility and local pricing decide whether an offer is relevant to the shopper.
Future expansion
UAE · Europe · Arab markets · other international markets
Multilingual support is planned.

Connecting product catalogues with customer intent.

For customers
Research that reflects their needs, preferences and budget, with relevant choices and a clearer path to a decision.
For merchants
A product-discovery channel that connects products with customers whose needs they meet.
For affiliate networks
An AI-native commerce layer designed to work with merchant and affiliate product sources.

Business model

GizMentor and Easelect may earn affiliate commissions on purchases that start in Easelect through participating merchants. Product suitability stays central to every recommendation.

Try Easelect, or build with us.

Shoppers can start on the web today. Merchants, affiliate networks and technology partners: let’s talk.