Industrial & Aviation
AI that recovers revenue and keeps the line running
Revenue leakage found, downtime cut, forecasts sharpened and paperwork automated. Built for industrial, manufacturing and aviation operators on the systems you already run.
Free diagnostic, three minutes. No follow-up unless you ask.
Built around the operator's P&L
The four places industrial and aviation businesses ask us to start, each drawn from work we have already delivered.
Revenue leakage and reconciliation
Generative-AI and anomaly-detection models that find the revenue slipping through invoice and billing gaps. For a global airport services operator we identified £1.5m of potential leakage in four weeks, and £2.2m across a wider anomaly-detection engagement.
Predictive maintenance and operations
Predictive maintenance on the sensor data you already collect, with operations dashboards plant managers actually use. One heavy industrial manufacturer, losing £4m a year to unplanned downtime, cut downtime by 65 per cent.
Demand forecasting and inventory
Seasonality-aware machine-learning forecasts that optimise stock across markets. A medical-device supplier cut absolute sales-forecast error by 31 per cent and extended its forecasting horizon to 18 months.
Document and order automation
Generative-AI pipelines that read scattered contracts and emailed orders and put the numbers where teams can use them. One European manufacturer now automates half its customer orders end to end, from inbox to ERP.
Work in industrial and aviation
Specific engagements, specific results. Anonymised by agreement where the client asked for it.
Predictive maintenance and ops dashboards for a UK industrial manufacturer
UK industrial manufacturer (£800m turnover)
A heavy industrial manufacturer was losing £4m a year to unplanned downtime. We deployed predictive maintenance models on their existing sensor data and built operations dashboards their plant managers actually use.
AI-Driven Revenue Recovery for Global Airport Services Operator
Global Airport Services Operator
QuantSpark helped a global airport services operator identify £1.5M in potential revenue leakage within four weeks using a Generative AI-powered solution for invoice reconciliation.
Building an AI-powered pricing database for a global aviation operator
A global travel logistics operator
QuantSpark used AI to extract pricing terms buried in scattered contracts and built a queryable pricing database, giving commercial teams clear visibility across customers and stations to support negotiations.
Automating order entry from inbox to ERP
A private-equity-backed European manufacturer of engineered wood products
A private-equity-backed European manufacturer of engineered wood products relied on a dedicated team to interpret and rekey emailed PDF orders into SAP by hand. QuantSpark built a generative AI pipeline that automates half of customer orders end to end.
Predictive churn model helps a plastics manufacturer prioritise sales engagement
A multinational plastics packaging manufacturer
A multinational plastics packaging manufacturer needed to anticipate customer churn so its sales team could act before mid-tier accounts drifted away. A bespoke, explainable churn model gave sales a real-time view of which customers were most at risk.
Machine learning improves a medical-device supplier's sales forecasting
A private-equity-backed orthopaedics and medical-device supplier
A seasonality-based machine-learning model cut sales-forecast error by around a third and extended forecasting to 18 months, optimising stock across international markets.
Identifying £2.2M in Revenue Leakage for Global Airport Services
A global airport services operator
A global airport services operator needed to identify uncaptured services and revenue leakage. QuantSpark developed an Anomaly Detection Model, identifying £2-2.2m in potential annual revenue.
Proof, not promises
Less unplanned downtime for a UK industrial manufacturer, from predictive maintenance on its existing sensor data
Figures are drawn from completed QuantSpark engagements. Clients are anonymised by agreement; on a call we will walk you through how each number was measured and, where the client has agreed, put you in touch with a reference.
One transparent ladder
Every engagement starts small and earns the next step. Book a discovery call and we will tell you where to start, honestly.
Readiness Diagnostic
Ten questions. A scored readiness band and an honest diagnosis. No follow-up unless you ask.
- Scored readiness band
- Plain-English diagnosis
- Recommended next step
AiRE Diagnostic
A short list of AI bets ranked by value, feasibility and risk, a recommended roadmap, and an honest read: roll out, build, buy, or wait.
- Ranked AI bets
- Value and feasibility scoring
- Recommended roadmap
- Honest build / buy / wait call
First Agent
A production-candidate agent, live on your own stack in five weeks, built with your team so you leave owning both the agent and the ability to build the next one.
- One core workflow mapped (week 1)
- One production-candidate agent on your stack
- Your people building alongside us
- Runbook, eval harness, code and IP, all yours
AiRE Rollout
Fractional AI implementation across your existing stack. From AI experiments to AI operations.
- Tool deployment on your stack
- Team enablement
- Governance and guardrails
- Monthly reviews and Slack support
Labs Discovery
A working prototype on your data, in your workflow. Not a slide deck. Validated value and a scale roadmap.
- Process and data mapping
- Working prototype
- Validated value case
- Scale roadmap
Labs Build
An enterprise-grade system embedded in your operating model. You own the code and the IP.
- Production build
- Integration and embedding
- Team handover
- 12 months support
Every project is scoped individually. Book a discovery call and we will provide a detailed proposal within 48 hours.
Start with the honest read
Three minutes, ten questions, no follow-up unless you ask. Or talk to a human first.