Retail, E-commerce & Consumer
Customer operations and merchandising agents with measurable cost-to-serve impact.
High volumes, thin margins, and fast feedback loops make retail the place where agent ROI shows up fastest — if the data is ready.
Use cases
Where AI pays off in Retail, E-commerce.
Customer-service resolution
Agents resolve order, return, and delivery issues end-to-end.
Product content generation
Attribute extraction and copy at catalogue scale, with brand controls.
Returns and fraud triage
Classification and routing with policy enforcement.
Demand forecasting and pricing
Classical ML integrated with planning.
Store operations copilot
Procedures, stock, and task guidance for store teams.
Regulatory notes
What the rules require.
Consumer-facing chatbots carry transparency obligations under the AI Act; personalised pricing and profiling intersect with GDPR and consumer-protection law.
Services
How we help.
Build Agentic Workflow Automation
Task-specific AI agents in production for high-volume workflows — support resolution, invoice matching, claims triage, order exceptions, document processing.
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Enable Change & Adoption Management
Workflow redesign around agents, role transitions, communication plans, and adoption tracking — so the business case is realised.
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Build Custom LLM Applications & Copilots
Domain copilots for sales, engineering, legal, and finance — with the model selection and evaluation evidence to back them.
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Build Predictive & Decision Intelligence
Classical machine learning where it beats LLMs: forecasting, anomaly detection, optimisation, and pricing.
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Industry lead
Tomas Lindqvist
Partner, Build
Tomas leads the Build practice. Before Neuronetix he ran platform engineering for a Nordic logistics company and shipped one of the first production multi-agent systems for claims triage in European insurance.
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