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Retail & E-commerce

AI in retail.

Personalised commerce, demand forecasting and store & back-office apps — AI-augmented and built on Mendix for omnichannel retail.

AI in retail
Proven on Mendix & AI

Live across channels & stores.

From global enterprises to challengers, retail & e-commerce teams run production AI applications on Mendix — the platform and the AI MXTechies delivers. A representative slice of what’s live, and the credentials behind it.

Demand & assortment

Forecasting and replenishment apps on Mendix.

Clienteling

Associate and store apps, offline-capable.

Order management

Unified OMS and returns workflows.

8
Mendix MVPs — top concentration in APAC
300+
enterprise apps in production
200+
AI-certified engineers
21 days
to a production PoC
GenAI
agentic, RAG & vision AI live in production
+15%
conversion
−20%
stockouts
+9%
basket size
What you get

Built for the people accountable for outcomes.

One engagement, four answers — to the questions a CIO, CTO, VP of Technology and business owner each bring to the table.

For the CIO

Governed & de-risked

Mendix Cloud with role-based access, audit trails and model-risk controls. Security and compliance built in — not bolted on.

For the CTO

One platform, no rewrite

A 21-day proof of concept scales to 100K users on the same platform. No throwaway prototypes, no re-platforming.

For VP, Technology

Delivery you can trust

AI-assisted development up to 7× faster, delivered by 200+ certified engineers in a repeatable 21-day rhythm.

For the business

Measurable ROI

Fixed-fee proof of concept tied to a clear ROI hypothesis. See the value in production before you commit to scale.

Use cases & impact

Where AI moves the number.

The applications we build most in retail & e-commerce — each a governed production app on Mendix, with the outcome it drives.

+15%conversion

Personalised recommendations

Real-time recommendations lift conversion across web and app.

−20%stockouts

Demand forecasting

Granular SKU-store forecasts drive replenishment and markdowns.

+9%AOV

Conversational shopping

Assistants guide discovery and answer product questions.

−30%manual pricing

Assortment & pricing AI

Optimise assortment, price and promotion from data.

+25%associate output

Store & associate apps

Mobile apps for clienteling, inventory and tasks.

−40%returns effort

Order & returns automation

Streamline order, fulfilment and returns workflows.

Engagement

Built for digital, merchandising & store-operations leaders — delivered by us.

We bring the reference architecture, the use cases, and the AI-certified engineers who’ve already delivered them — from a 5-day discovery to a 21-day production proof of concept.

Built for

Digital, merchandising & store-operations leaders

Services used
MendixAI & MLIntegrationsQuality Eng AIConsulting
2026 trends

What’s reshaping retail & e-commerce.

The app patterns leading teams are putting into production right now.

Trend 01

Agentic shopping

Agents that guide discovery and complete purchase tasks.

Trend 02

Unified commerce

One view of customer, inventory and order across channels.

Trend 03

Demand-sensing AI

Real-time signals driving replenishment and price.

Across the ecosystem

Siemens, Mendix & Altair — together.

Siemens

Xcelerator-grade governance

Secure, scalable deployment across retail estates.

Mendix

Store, clienteling & OMS apps

Omnichannel apps delivered on Mendix.

Altair

RapidMiner

Demand, pricing and customer analytics.

Case study

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FAQ

Questions, answered.

What retail AI use cases pay off fastest?

Personalised recommendations, demand forecasting and conversational shopping typically show value within a 21-day PoC.

Can you connect our commerce and ERP stack?

Yes — Mendix integrates with your commerce platform, ERP, OMS and POS via connectors and APIs.

Do you support omnichannel?

Yes — unified customer, inventory and order views across web, app and store.

Is it built on Mendix?

Yes, as a Mendix Platinum Partner backed by Siemens Xcelerator.

Put AI to work in retail.

Tell us the outcome you’re after. We’ll bring the platform, the AI and the engineers who’ve done it before.