Industries / Retail & E-Commerce

AI-powered retail systems for modern commerce.

AI-driven retail systems built around customer data, omnichannel operations and real-time commerce intelligence.

Our Approach

AI-powered retail systems built on unified data, real-time intelligence and omnichannel scalability.

Retail & E-Commerce

Your challenges. How we approach them.

01

Siloed customer data across channels preventing a unified Customer 360.

Customer-360 data platforms built on Snowflake or Databricks.

02

Manual pricing and inventory processes that can't keep pace with demand signals.

Real-time pricing-intelligence pipelines with multi-vendor API ingestion.

03

PCI-DSS, CCPA and GDPR compliance across international customer data.

PCI-DSS- and CCPA-compliant architecture from the ground up.

04

Omnichannel integration gaps between in-store, online and marketplace channels.

Omnichannel integration connecting all sales channels to a single data layer.

05

Recommendation engines limited by poor data-pipeline quality.

ML-powered demand forecasting and inventory optimization.

Case study

Market Price API / ETL Pipeline — UK Fashion Resale Analytics

A cloud-native AWS pipeline for multi-vendor pricing-data ingestion and analytics — modular architecture that adds new data sources without code changes.

Every Retail & E-Commerce engagement runs on Engram, our AI framework — Adopt, Build, Create — applied to the realities of your sector.

Let's build

Build something Real

30 minutes. No pitch deck. A real conversation about your challenge.