Retail & E-commerce

For e-commerce, merchandising and operations leaders at multi-channel retailers

Inventory, catalogue and personalisation that keep up with demand

Computer vision, inventory automation, personalisation engines and order systems for brands and retailers.

DTC brandsmarketplacesomnichannel retailretail SaaS
Catalogue · inventory · personalisation
Simulated

Trail runner SKU-88120

Footwear › RunningColour: slateMaterial: mesh

Web

42

Store

8

Marketplace

31

Rain shell SKU-88131

Outerwear › JacketsColour: oliveWaterproof: 10K

Web

12

Store

0 · resync

Marketplace

19

Merino base SKU-88144

Apparel › Base layerColour: charcoalWeight: 200 g

Web

65

Store

22

Marketplace

40

Attributes proposed from the image and copy · merchandiser approves before publish.

Ranked for · returning shopper

  1. 1Rain shell0.90
  2. 2Trail runner0.78
  3. 3Merino base0.66

last order: running · size 10 · browsing jackets

Catalogue enrichment

Hours, not weeks

Channel data freshness

< 5 min

Stockouts flagged

1

Publish needs a merchandiser

Always

A human approves every change the AI proposes.
Where it hurts

The four problems buyers bring us

  1. 01

    Inventory blind spots

    Multi-channel stock with no real-time view means stockouts and overselling.

  2. 02

    Generic personalisation

    One-size-fits-all merchandising misses what each customer wants.

  3. 03

    Messy product data

    Thousands of SKUs with missing attributes make search ineffective.

  4. 04

    Fulfilment bottlenecks

    Manual routing, carrier selection and tracking create delays.

Numbers link to the case study they come from.

What we build

What we ship for retail & e-commerce

Inventory automation, personalization engines, customer-data platforms, and operations infrastructure for retail and e-commerce companies past the Shopify ceiling.

  • 01 AI does this

    Inventory & catalog automation

    Multi-warehouse inventory sync, demand forecasting, automated reorder, and SKU-level analytics across all channels.

  • 02 AI does this

    Personalization & recommendations

    Product recommendations, dynamic merchandising, and email personalization powered by your real customer data — not generic black-box AI.

  • 03

    Customer data platform (CDP)

    Unified customer profiles across web, app, email, support, and store. Real-time identity stitching and segment APIs feeding your stack.

  • 04 AI does this

    Omnichannel operations

    Buy online, fulfill anywhere — order routing, store-fulfillment, returns automation, and inventory visibility across the network.

  • 05

    Marketing data infrastructure

    MMM, attribution, audience pipes to ad platforms, and creative analytics built on your warehouse. Replace blind Meta/Google reporting with real attribution.

  • 06 AI does this

    Visual search & catalog AI

    Image-based product search, visual try-on, automated product tagging, and catalog enrichment using vision models.

Compliance

Designed to pass review, not retrofitted after it

Audit trails, encryption and access controls are sprint-one work.

PCI-DSS

Tokenized payment flows, scope minimization, and audit-ready architecture for processors and card-present integrations.

GDPR & CCPA

Consent management, data subject rights, retention controls, and regional data residency for global retail brands.

SOC 2 Type II

Architected to support clients pursuing SOC 2 — increasingly required by enterprise retail partners and platforms.

Accessibility (WCAG 2.1 AA)

Storefront and dashboard accessibility built in. Reduces ADA legal exposure on customer-facing surfaces.

How it runs

Scope in a week, ship in sprints

Shadow mode, parallel run, staged cutover — and a rollback plan you'll hopefully never use.

Stage 01

Retail discovery & scoping

We map your existing workflow, integrations with core retail systems, and regulatory constraints. Define success metrics and produce a written scope.

  • Workflow audit
  • System inventory
  • Compliance review
  • Success criteria
run.log · engagement
 

A human approves every change the AI proposes.

  • Commerce platforms

    Shopify (Plus, Functions)BigCommerceCustom storefrontsMagento / Adobe CommerceHeadless (Next.js)
  • OMS / ERP / WMS

    NetSuiteBrightpearlCin7Custom OMSShipBob / ShipStation
  • Data & CDP

    SnowflakeSegmentRudderStackHightouch (reverse ETL)dbt
Case study
Data platformSeries B SaaS

A unified data platform for a high-growth SaaS company

Real-time ingestion from 15+ sources into a Snowflake warehouse, dbt models and executive dashboards with sub-200 ms queries.

2.4M

Records processed daily

Read the case
Questions

Before you email us

What retail & e-commerce buyers ask first.

Yes. We build on top of Shopify Plus using Functions, Hydrogen, Storefront API, and Shopify Flow where they fit — and custom infrastructure where they don't. Same for BigCommerce and Adobe Commerce.

Tell us the retail & e-commerce workflow that hurts most.

A senior engineer who has shipped in your industry replies within 24 hours with scoping questions and a real timeline.

  • 50+

    Production systems shipped

  • 97%

    Client retention

  • 4–8 wk

    Typical time to production

  • 24h

    Reply from a senior engineer