Addend helps manufacturers turn ERP, MES, and shop-floor data into decision-ready manufacturing analytics and AI insights embedded directly into plant operations.
Where OEE, throughput, and downtime directly impact profitability.
You already collect production data but struggle to turn it into trusted operational insights.
You want analytics that support shift decisions, not just reporting dashboards.
But need a practical starting point for production optimisation.
Across production, maintenance, quality, and plant leadership.
The issue is not a lack of data. And it is not dashboards. The real problem is that manufacturing analytics rarely reaches the exact moment a decision is made on the shop floor.
Addend works with manufacturing teams to close this gap between analytics visibility and operational decision-making.
They typically answer questions like:
Useful but incomplete.
Manufacturing leaders are responsible for decisions such as:
When manufacturing data analytics cannot support these decisions in real time, it remains trapped in reports, not embedded in operations.
In organisations where manufacturing analytics and AI solutions truly work, something fundamental is different.
Analytics becomes part of the operating rhythm, showing up in daily tier meetings, shift handovers, production reviews, and maintenance planning rather than existing as a separate reporting layer.
That is the difference between analytics used by manufacturing teams and manufacturing analytics that actually runs the business.
Rather than treating manufacturing analytics as a reporting layer, we design decision-ready analytics systems grounded in real operational data across ERP, MES, and shop-floor systems.
This ensures analytics fit how plants actually run and supports the decisions that affect OEE, throughput, maintenance, quality, and cost.
The goal is not to create more dashboards, but to make manufacturing analytics usable where decisions actually happen, on the plant floor.
What decision needs to be improved? Who owns it? What changes if it does?
Ensure OEE, performance, and quality metrics are trusted and consistent.
Deliver analytics where decisions are made, not just where reports live.
Predictive maintenance, forecasting, and optimisation are built on solid foundations.
This approach reduces risk, increases adoption, and delivers value faster for manufacturing organisations.
To help teams move quickly without over-committing, Addend offers manufacturing analytics accelerators focused on common decision areas.
Manufacturing leaders don’t need theory – they need evidence that analytics actually improves plant operations. Our manufacturing engagements typically result in:
One of the biggest mistakes manufacturers make is trying to fix analytics across the entire organisation at once.
In this focused 30-minute session, we:
Sometimes, the most valuable outcome is simply understanding what not to build yet.
That clarity alone saves time, cost, and organisational fatigue while creating a practical starting point for decision-ready manufacturing analytics.
Addend Analytics exists to close the gap between analytics visibility and operational decision-making in manufacturing environments.
We do not treat manufacturing analytics as a reporting problem.
We treat it as a decision systems problem.
Our manufacturing analytics work is grounded in real operational data spanning ERP, MES, and shop-floor systems and is designed to fit into how plants actually run.
Not to “transform everything,” but to make analytics usable where it matters most.
Helping manufacturers operationalise manufacturing analytics and AI solutions so decisions improve performance – not just reporting.