Industries · Manufacturing, Industrial & Utilities
Operational data, put to work.
We apply data analytics and AI to the metrics that run a plant and a supply chain: production efficiency, downtime and supply chain performance. The aim is a more agile operation, lower cost and better performance across the business.
Where the work starts
The problems we hear most.
Data quality
Numbers nobody fully trusts
Manual entry, siloed systems and human error produce inaccurate data, which makes reliable reporting and decision-making hard.
Time
Repetitive work crowds out analysis
Data entry, reconciliation and invoice processing take time that would be better spent on analysis and planning.
Risk
Errors from manual handling
Every manual step adds risk. Integrated data management and automation reduce how often errors happen and what they cost.
What we build
Analytics and AI on the systems you already run.
- Production efficiency analytics on the operational metrics that matter to the plant
- Predictive maintenance: machine failures per location and period, and downtime and maintenance cost over time
- Supply chain optimization and forecasting, including AI and analytics layered on an existing planning system
- Demand and sales forecasting that gives one function one number
- Virtual agents for technical support that resolve common questions before they reach a live agent
- Integrated data management that replaces siloed systems and manual entry
- Automation of repetitive data entry, reconciliation and invoice processing
How we work
Fitted to your operation, and built to last.
Fit
Shaped to your operation
We adapt each plan to your industry, your culture and the technology infrastructure you already have, rather than starting from a template.
Alignment
Goals, ethics and change
We align the work with business goals, set ethical guardrails and plan the change management, with open communication throughout.
Support
Training that sticks
Workshops, coaching and continuing support so your team can run and manage the data and AI systems after we hand them over.
Related practices
The practices behind this work.
Practice
Data Engineering & Platforms
Integrated data from siloed operational systems
Practice
AI & Machine Learning
Forecasting, predictive maintenance, optimization
Practice
Generative AI & AI Agents
Virtual agents for technical support
Practice
BI & Data Visualization
Reporting on production and supply chain metrics
Case studies in Manufacturing, Industrial & Utilities
Delivered work, with the figures.
Client identities withheld; results as reported in each write-up.
Manufacturing & industrials · Generative AI & agents
An omni-channel virtual agent for technical support
A global electronics manufacturer. 37% fewer Tier 1 live-agent contacts.
Read the story →Manufacturing & industrials · AI & machine learning · Data engineering & platforms
An AI and analytics layer on the existing planning system
A large food manufacturer and distributor. 18% fewer stockouts at key partners.
Read the story →Manufacturing & industrials · AI & machine learning
A forecasting engine for one function, one number
A global manufacturer. +20% forecast accuracy.
Read the story →Next step
Tell us the operational decision you are facing.
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