INDUSTRIES · RETAIL B2C
Search that understands intent, not just keywords. Personalization that works without third-party cookies. Prices that respond to the market in real time. Built on the platform you already have — no migration, no downtime.
The problem
Your search returns "no results" for "navy blue slim pants" — and the product does exist in the catalog.
Everyone sees the same homepage: the VIP customer who's been with you for 3 years and the one who arrived for the first time from a Meta ad.
Your prices are static, while Amazon, Liverpool and Mercado Libre update theirs every hour.
You have behavioral data from millions of sessions — and no system uses it to sell more.
Your abandoned-cart flow sends the same generic email to everyone — regardless of what they were looking for or how much they had spent.
Who it's for
10k+ SKUs with organic and paid traffic already active. You don't need more traffic — you need to convert it better.
If fewer than 3% of your search sessions turn into orders, there's money on the table.
Physical store + online + BOPIS. Inventory that must be unified so you never disappoint the customer on any channel.
You're already on Adobe, VTEX, Salesforce Commerce or SAP Commerce. You're not going to switch; you're going to supercharge them with AI.
The solution
Your search moves from keyword-match to understanding intent. Natural language, synonyms, typos, visual search. On average: 3x more conversion from search vs. basic text search.
Recommendations based on in-session behavior, purchase history and contextual signals. Without relying on third-party cookies. Compatible with Shopify, VTEX, Salesforce Commerce, SAP.
Prices that respond to demand, inventory, competition and customer behavior. Rules configured by your team, executed by AI in real time. No price war — with protected margins.
Conversational sales agents that guide the buyer from the first search to checkout. Available 24/7. Integrated with your catalog, inventory and prices in real time. See agentic commerce.
The process
We analyze your funnel: traffic, search, personalization, pricing. We identify the biggest revenue gap.
We define which AI modules apply to your current platform. No forced migration.
We implement on your existing platform: search, personalization, pricing or agent — prioritized by ROI.
A/B testing of each module. Reports of revenue attributed to each AI feature implemented.
Results
average conversion with semantic search
revenue per session with active personalization
infrastructure cost after migrating to composable architecture
Frequently asked questions
No. We are agnostic by conviction. We implement AI on the platforms you already use: Shopify, Adobe, VTEX, Salesforce Commerce, SAP Commerce and BigCommerce. Migration is an independent decision that is evaluated in the assessment to determine whether there are technical reasons to carry it out.
The semantic search module can be in production in 3–4 weeks. The first conversion-impact data is observed within the first 2 weeks of live operation, once the model indexes your full catalog.
Personalization is most effective with catalogs of more than 500 SKUs and at least 10,000 monthly sessions. For smaller catalogs, semantic search and dynamic pricing generate a higher ROI in the short term.
We define the metrics before starting: conversion from search, revenue per session, average order value, repurchase rate. Each module is tested in A/B mode to isolate the impact. By the third month, you have enough data to calculate ROI precisely.
In 45 minutes we analyze your current funnel and show you exactly where the biggest conversion opportunity with AI is. No generic presentation — with the data from your own site.
No commitment. Confidentiality guaranteed. contacto@edgebound.com