Results we can put a number on
Every engagement here is documented: the problem, what we built, and what changed. Filter by industry, engine or outcome to find work like yours.
- £135m+
- Value identified across our documented work
- $130m+
- Across US engagements
- 100+
- Engagements delivered
- 6
- Industries
- Since 2015
- Building AI systems that ship
Ask about our work
Answers only from our documented case studies
Powered by the same applied-AI approach we deliver for clients
I am looking for...
Showing 7 of 56 engagements
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.
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.
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.
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.
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.
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.
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.