Meld

INDUSTRY — E-COMMERCE

AI-Powered E-Commerce Solutions

From product recommendations to dynamic pricing — built by the team that processed 150M+ product offers/month for major retailers.

What We Build

End-to-end AI capabilities purpose-built for e-commerce at scale.

AI Product Recommendations

Personalized recommendation engines that increase AOV and conversion rates using collaborative filtering, content-based, and hybrid approaches.

Dynamic Pricing

Real-time pricing algorithms that optimize margins based on demand, competition, inventory levels, and customer segments.

Visual Search

Let customers search by image. Computer vision models that match product photos to your catalog with high accuracy.

Feed Management

Automated product feed optimization across Google Shopping, Meta, Amazon, and 50+ channels. Enrich, transform, and distribute at scale.

Inventory Forecasting

ML-powered demand prediction that reduces stockouts and overstock. Seasonal patterns, trend detection, and automated reorder points.

Analytics & Attribution

Unified analytics dashboards connecting ad spend to revenue. Multi-touch attribution, cohort analysis, and LTV prediction.

Operational Experience at Massive Scale

This is not theoretical. Our co-founder built PenseBIG/BIGAdcore — a product feed platform processing 150M+ product offers per month. We managed feeds for Magazine Luiza and major Brazilian retailers. We have built and operated e-commerce AI at the scale most companies only dream about.

150M+Product offers/month processed
$50M+Ad spend managed
#1PPC Agency in Brazil (TopSEOs, 3 years)
IABBrasil board member

Performance Marketing DNA

Our co-founder managed $50M+ in ad spend for global brands, founded WebTraffic (ranked #1 PPC Agency in Brazil by TopSEOs for 3 consecutive years), and served as an IAB Brasil board member. We don't just build e-commerce tech — we understand the full funnel from impression to repeat purchase.

Brands managed include:

Coca-ColaMicrosoftSantanderJohnson & JohnsonNissanWhirlpool

Investment

E-commerce AI platforms start at $20K–$50K depending on scope, integrations, and catalog size.

$20K–$50KE-Commerce AI Platform
  • Custom AI models trained on your data
  • Platform integrations included
  • 90-day post-launch support
  • 100% code ownership

Frequently Asked Questions

What e-commerce platforms do you integrate with?

We build platform-agnostic AI solutions that integrate with Shopify, WooCommerce, Magento, VTEX, BigCommerce, and custom platforms. Our feed management systems connect to Google Shopping, Meta Commerce, Amazon, and 50+ advertising channels.

How is this different from off-the-shelf recommendation tools?

Off-the-shelf tools are generic. We build custom models trained on your specific catalog, customer behavior, and business rules. The result is 2-5x better performance than plug-and-play solutions — because the model understands your products, not just generic e-commerce.

What scale can your systems handle?

Our team co-founded PenseBIG/BIGAdcore, which processed 150M+ product offers per month for major retailers including Magazine Luiza. Our architecture is proven at massive scale from day one.

How long does a typical e-commerce AI project take?

A focused AI capability (recommendations, dynamic pricing, or visual search) takes 4-8 weeks. A comprehensive e-commerce AI platform with multiple capabilities takes 8-12 weeks. We deliver incrementally so you see value fast.

Do you handle the marketing side too?

Our co-founder managed $50M+ in ad spend for brands like Coca-Cola, Microsoft, and Santander, and founded WebTraffic (TopSEOs #1 PPC Agency in Brazil, 3 consecutive years). We understand the full funnel — from ad impression to conversion to repeat purchase.

Ready to Add AI to Your E-Commerce?

Get a free consultation from a team that has built and operated e-commerce AI at 150M+ offers/month scale.