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FRAI/Services/Managed Product Discovery System

Managed service

Managed product discovery for marketplaces

This is a managed custom software workflow, not a standalone product-search subscription. FRAI builds or takes control of the software, then manages hosting, monitoring, support, maintenance and improvements. The assistant understands intent, filters products, recommends options and completes tasks inside your marketplace.

Custom software built, operated, and improved by FRAI. AI is included only where it improves a defined workflow.

See how it works
01

Conversion rate increase in category

+15% to +38% based on similar projects
02

Add-to-cart rate

+10% to +25%
03

Reduction in category abandonment

-20% to -45%

01 — The constraint

What we solve

Recognize the operational friction before choosing another tool.

  1. 01

    Users getting lost among thousands of products with no clear guidance.

  2. 02

    Complex filters that generate abandonment on category pages.

  3. 03

    Internal search engines that can’t understand natural language (unlike a conversational AI chatbot).

  4. 04

    Repeated questions about stock, sizing, compatibility or shipping.

  5. 05

    Low conversion in overloaded categories with too many options.

02 — The system

What this AI chatbot does for your marketplace

Designed as a maintainable operating capability, not a disconnected feature.

01

Conversational product search for marketplaces

Users type what they want in natural language. The chatbot understands intent, applies filters and finds relevant products better than classic engines like Doofinder or non-chat Algolia.

02

Smart product comparison

The chatbot summarizes differences, highlights pros and cons, and recommends the best option based on the user’s requirements. Ideal for large multiproduct marketplaces where choosing is difficult.

03

Tools that complete tasks inside the marketplace

We build tools to: check real-time stock, add items to cart, validate compatibility, apply coupons, send product sheets via email/WhatsApp, process returns, start support cases and suggest accessories.

04

Optimized infrastructure managed by FRAI

Search engines like Algolia, Elastic or Meilisearch fully integrated. Servers, APIs, logs, security and autoscaling included. Low latency even with large and fast-changing catalogs.

05

Designed specifically for your marketplace

The assistant uses your product catalog, business rules and brand voice. It isn’t a generic bot — it is designed to increase conversion, reduce abandonment and improve the buying experience.

03 — Delivery

How we start your project

A visible sequence from scope to operation, with responsibility clear at every step.

  1. 01

    Click on “Start your project”

    We collect quick information about your catalog, categories and recommendation logic.

  2. 02

    Meeting with a FRAI developer

    We define what data the chatbot will use, what tools it needs and how product recommendations should work.

  3. 03

    You receive a clear proposal

    Includes integrations, tools, search engines, infrastructure and estimated delivery times.

  4. 04

    Proposal review

    We adjust scope and priorities so the project fits your goals and workflow.

  5. 05

    Approval and contract

    Once everything is aligned, we formalize the agreement.

  6. 06

    We begin the project

    FRAI implements catalog ingestion, tools, security, infrastructure, testing and launch.

Scope checkpoint

A useful first conversation should reduce uncertainty.

Bring the workflow, the bottleneck, and the systems involved. We will help define the smallest credible next step.

04 — Commercial signal

Expected results

Operating indicators and targets are defined against your baseline, scope, and measurement period.

01+15% to +38% based on similar projects

Conversion rate increase in category

02+10% to +25%

Add-to-cart rate

03-20% to -45%

Reduction in category abandonment

04-30% to -60%

Reduction in repetitive tickets (stock/shipping/sizing)

05Managed by FRAI. Continuous automated monitoring. Human response coverage is defined in the agreement.

Infrastructure

05 — Operating fit

Where the service connects and creates value

Integrations and capabilities

Connected systems and capabilities

  1. 01

    Search engines: Algolia, Elastic, Meilisearch

  2. 02

    Conversational alternative to tools like Doofinder, Clerk.io or Klevu

  3. 03

    Shopify, WooCommerce, Prestashop, Magento, custom marketplaces

  4. 04

    ERPs and real-time stock

  5. 05

    CDN and optimized images

  6. 06

    WhatsApp Business and email

  7. 07

    CRM and marketing automation

  8. 08

    Airtable, Baserow, Google Sheets

  9. 09

    APIs, Webhooks, n8n, Make, Zapier

  10. 10

    Infrastructure managed by FRAI

Best-fit use cases

  1. 01

    AI chatbot for multiproduct marketplaces that guides users across thousands of options.

  2. 02

    Conversational product finder for ecommerce that recommends based on purchase intent.

  3. 03

    Reducing abandonment in categories with too many products.

  4. 04

    Automating answers about stock, shipping, compatibility or sizing.

  5. 05

    Adding products to cart directly from the chat.

  6. 06

    Capturing email or WhatsApp from undecided users before they leave the site.

06 — Commercial boundary

Where this service fits — and where it does not

A useful service page should make the buying boundary explicit before a proposal is discussed.

Best fit

  1. 01

    Large or complex catalogues where structured attributes can improve discovery.

  2. 02

    Marketplaces that need monitored recommendations connected to catalogue data.

Not the right fit

  1. 01

    Small catalogues that ordinary navigation and filters already serve well.

  2. 02

    General ecommerce support covering orders, returns and service questions.

07 — Applied contexts

Examples by sector

The same operating logic, adapted to the constraints and decisions of each sector.

01

Fashion

Recommend sizes, filter by style and add to cart without browsing endless categories.

02

Electronics

Compare models, validate compatibility and suggest accessories. More flexible than standard search engines like Doofinder.

03

Home & Living

Filter by materials, dimensions or styles; send recommended combinations and check real-time stock.

04

Cosmetics

Recommend routines by skin type, allergies and goals; create packs directly for the cart.

05

Sports

Suggest equipment by skill level, weather or activity type and add items directly from the chat.

06

Multiproduct marketplace

A unified conversational assistant for all categories. Ideal for large catalogs with multiple sellers.

08 — Decision support

Comparisons

A practical view of what changes when the service is built around your workflow.

01

Traditional search (Doofinder/Klevu) vs AI chatbot for marketplaces

  • Search engine: understands keywords — AI chatbot: interprets the user’s purchase intent.
  • Search engine: shows lists. AI chatbot: guides users, makes targeted recommendations, and better understands their needs.
  • Search engine: cannot take action. AI chatbot: adds items to the cart, checks stock, sends product sheets, explains product details as a salesperson would, and answers customer questions.
02

Basic chatbot vs chatbot with tools

  • Basic: only answers — With tools: acts inside the marketplace.
  • Basic: generic replies — With tools: catalog-driven personalization.
  • Basic: limited impact — With tools: boosts conversion and reduces support load.
03

Static FAQs vs dynamic AI chatbot

  • FAQs: long texts no one reads — AI chatbot: fast, actionable answers.
  • FAQs: not updated automatically — AI chatbot: uses real-time data.
  • FAQs: one-size-fits-all — AI chatbot: adapts to each user.

09 — Before we start

Frequently asked questions

Direct answers to the questions that usually determine fit, scope, and responsibility.

01Does it update stock in real time?+

Yes. The chatbot checks your systems using tools connected to your ERP or internal APIs.

02Is it GDPR compliant?+

Yes. FRAI ensures GDPR compliance across data processing, encryption, access control and retention.

03Does it work with large or multi-seller catalogs?+

Yes the system is designed for marketplaces with multiple vendors.

04What technical access do you need?+

Only API access to your catalog, stock or ERP. Nothing else.

05How long does implementation take?+

Usually between 1 and 3 weeks depending on catalog size and integration needs.

06Do I need a technical team?+

No. FRAI manages all infrastructure, connectors, security and maintenance.

07Is latency low?+

Yes. Optimized search engines, caching and scalable servers ensure fast responses.

08Does it work in multiple languages?+

Yes. Spanish, English, Italian and more.

The operating boundary

Turn your marketplace into a guided, frictionless shopping experience

An AI chatbot that finds products, answers questions and completes marketplace tasks on FRAI-managed infrastructure. Available in Spain, Italy and LATAM.

No generic package. No disconnected pilot. One accountable path from scope to operation.

See how it works
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