forecasting / 01
See demand before it lands.
Predict sales, occupancy and raw material demand with models trained on your own history, calendar effects and seasonal patterns.
Custom AI model deployment
Off-the-shelf algorithms cannot read your business. We build models around your operational data, then place them inside the tools your team already uses.
Demand planning learns seasonal patterns. Lead scoring follows your actual won and lost history. Anomaly detection adapts to what normal means on your site.
01 / operational use cases
The right model answers one expensive question clearly. It gives your team a decision they can act on today.
forecasting / 01
Predict sales, occupancy and raw material demand with models trained on your own history, calendar effects and seasonal patterns.
lead scoring / 02
Rank every enquiry by its probability of conversion using your actual won and lost records. The queue gets sharper.
churn prediction / 03
Flag risk weeks before a customer leaves. Your account team sees the signals, the timing and the reason.
anomaly detection / 04
Find plant failures, stock discrepancies and suspicious patterns in real time, with alerts that carry useful context.
demand planning / 05
Align procurement, staffing and production schedules automatically. The output belongs in the planning tools your people already open.
02 / control by design
Your data stays where your security team expects it. Every model has a clear owner, a measured output and a route back to the source.
We containerise each model so it can run beside your existing databases, applications and reporting stack.
Data never leaves your environment unless you choose our UK-hosted managed service. The boundary is yours.
Your team verifies the output during a validation sprint. We agree the accuracy KPI before deployment.
03 / measured outcomes
The first model should earn its place quickly. These pilots show what a focused prediction can change.
Marine Harvest / fish processing
Anomaly detection identified process changes early enough for the team to act before product was lost.
before: late-stage waste → after: earlier intervention
Devon Construction / materials
Demand forecasting gave procurement a clearer view of upcoming requirements and reduced surplus on site.
before: broad estimates → after: data-led ordering
04 / choose the first model
We’ll select a high-impact pilot and build it on your data in three weeks. The work is governed by a mutually agreed accuracy KPI.
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Secure AI solutions for UK operations