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Wolfsohn.ai

Case studies

Selected work

Case studies showing what the Wolfsohn technology division builds — each framed as challenge, approach and outcome, grounded in a real 10,000+ SKU, 10+ country authorized-dealer operation.

Does wolfsohn.ai have case studies?

Yes — the case studies below show the kind of supply-chain AI and custom software wolfsohn.ai builds, grounded in a real authorized-dealer operation.

Because wolfsohn.ai builds for Wolfsohn's own 10,000+ SKU, 10+ country authorized-dealer operation first, every example reflects real operational patterns rather than greenfield theory.

Selected work

Browse by focus

All work
Supply-chain automation
Smart distribution
AI & forecasting
B2B platform
Data platforms
AI & forecasting

Demand forecasting across a 10,000+ SKU catalogue

Challenge
Stocking the right products across a broad consumer-electronics catalogue and 10+ European markets, without tying up capital in slow movers.
Approach
An applied forecasting model trained on years of real authorized-trade signal, surfacing demand shifts per SKU and per market with weekly retraining.
Outcome
Steadier availability on fast movers and less dead stock — modelled on the operation wolfsohn.ai runs in-house.
Smart distribution

Warehouse and inventory optimisation

Challenge
Same-day shipping from a German warehouse while keeping picking efficient as order volume and SKU count grow.
Approach
A smart-distribution engine that sequences replenishment and pick paths from live stock and order data, with operational dashboards for the floor team.
Outcome
Faster, more predictable fulfilment under real logistics load.
B2B platform

AI behind a B2B commerce platform

Challenge
Wholesale buyers on the wolfsohn.de platform need real-time stock and price accuracy across thousands of products.
Approach
Data services that keep stock and pricing in sync in real time, with anomaly detection flagging mismatches before they reach a buyer.
Outcome
Fewer pricing and availability errors and a smoother buyer experience.
Supply-chain automation

Sourcing and supplier vetting automation

Challenge
Global sourcing depends on working only with VAT-verified, compliant manufacturers — a slow manual check at scale.
Approach
An automation layer that screens supplier records, validates VAT and registration data, and routes exceptions to a human for review.
Outcome
Faster onboarding of vetted suppliers with a clear compliance trail.
Supply-chain automation

EU market-entry decision support

Challenge
Deciding which products and markets to prioritise when expanding a brand across Europe.
Approach
A data platform that combines demand signals, logistics cost and market reach into a comparable view for each candidate market.
Outcome
Clearer, evidence-led market-entry prioritisation.
Data platforms

Custom AI software for a client operation

Challenge
A client needed AI and software tailored to their own commerce and logistics workflow, not an off-the-shelf tool.
Approach
A discovery → build → operate engagement: understand the problem, engineer and integrate the solution, then run it in production with eval gates and rollback.
Outcome
A production system owned by the client, built by a team that runs a real authorized-dealer business.

Behind the work

These case studies draw on the same systems wolfsohn.ai builds and runs in-house, and the custom work it delivers for clients.

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