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
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Showing all 56 engagements
Generative AI-Enabled Lead Scoring Drives $120M+ Revenue for Clinical Research Organisation
Clinical Research Organisation
“We are reading the market the way the market is moving. Not the way it was moving last quarter.”
DataControl Platform: intelligent private equity data management
A mid-market private equity firm
DataControl Platform is QuantSpark's web application for PE firms: one place to collect, validate, visualise and sign-off portfolio data. One platform, one source of truth, fewer spreadsheets.
Predictive maintenance and ops dashboards for a UK industrial manufacturer
UK industrial manufacturer (£800m turnover)
“I have been pitched predictive maintenance by every vendor in the market for ten years. This is the first one that actually changed how we run the plants.”
Building data cubes across subscriptions, usage and marketing for a SaaS business
A private-equity-backed SaaS business
A private-equity-backed SaaS business gained a single view of subscriptions, product usage and marketing through three purpose-built data cubes and self-service dashboards.
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.
Unlocking £3.5M Profit Uplift with Retail Clearance Optimisation
Leading UK Retailer
QuantSpark developed a custom clearance tool for a retail client, optimising markdown strategies and workflow to unlock a £3.5m annual profit uplift opportunity and dramatically reduce labour.
Customer segmentation analytics suite lifts conversion probability by 30%
An online marketplace platform
How a bespoke customer-segmentation and analytics suite gave an online marketplace the insight to lift its probability of converting users to paying customers by 30%.
Automating Daily Reconciliation: 80% Reduction in Manual Processing for Asset Manager
Leading UK Asset Manager
QuantSpark automated a daily reconciliation process for a leading asset manager, achieving an 80% reduction in manual processing and faster daily trading.
Boosting Retail ROI: Data-Driven Promotional Pricing Optimisation
PE-backed European Retailer
QuantSpark helped a PE-backed European retailer transform their promotional strategy, moving from intuition-based decisions to a data-driven approach.
Unlocking £100M Revenue Opportunity for a Major Franchisor with Data Strategy
A major multi-site franchise network
QuantSpark partnered with a major franchisor to identify and resolve data pain points, uncovering a £100M revenue opportunity by addressing 10% annual sales leakage through a new data strategy.
Personalising email timing to lift engagement and revenue
A UK high-street retailer
QuantSpark built a behavioural trigger model that personalises the timing of marketing emails, delivering five times the revenue per send and two and a half times the engagement of standard campaigns.
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.
Quantifying an £18m Revenue Uplift in Supermarket Clearance Automation
Big-4 UK supermarket
QuantSpark identified an £18m revenue uplift opportunity for a leading UK supermarket by designing a roadmap to automate their complex stock clearance and discounting processes.
Government Predictive Accuracy Boosted by AI-Powered Social Media Intelligence
Leading Government Department
How QuantSpark improved the performance of an existing predictive model that wasn't delivering the accuracy needed for effective decision-making for a national security customer.
Product recommendation engine lifts email conversion by 25%
UK menswear retailer
A menswear retailer's marketing emails were sending repeat customers on long searches for products they had bought before. QuantSpark's recommendation engine personalised those emails and lifted conversion by 25%.
Marketing budget allocation tool cut cost per acquisition by 10%
A high-street womenswear retailer
A high-street womenswear retailer wanted to allocate digital marketing spend across channels and geographies to maximise return. A bespoke decision-support tool cut cost per acquisition by 10 per cent while the business kept growing.
Streamlining Excel-based workflows with Python automation
An investment management firm
How QuantSpark modernised an investment management firm's Excel-based reporting with Python automation, cutting manual effort and improving data quality without replacing familiar tools.
Accelerating AI Adoption and Mitigating Risk Across Private Equity Portfolios
A leading private equity firm
QuantSpark delivered a modular AI Vulnerability & Opportunity Assessment for the firm's portfolio companies, providing a comprehensive view of AI risks, opportunities, and capability gaps to inform…
Global Healthcare SaaS Provider Achieves Unified BI for Strategic Growth
Global Healthcare SaaS Provider
QuantSpark's Business Intelligence solution transformed a global healthcare SaaS provider's performance visibility, enabling data-driven decisions and unlocking growth potential across its portfolio.
Automating a global asset manager's data pipeline to streamline decisions
A global ESG-focused asset manager
Replacing a sprawling legacy spreadsheet with an automated data pipeline cut refresh times from hours to minutes and freed analysts to focus on investment advice.
Quantifying how predictive software reduces evictions for social landlords
A provider of arrears-management software to social landlords
An independent large-scale study measured how rent-arrears prediction software affects evictions and arrears across the social-housing sector, evidencing a 37.8 per cent fall in evictions.
A rapid AI prototype to auto-file email attachments at a private equity firm
A private equity firm
A private equity firm built internal AI momentum with a lightweight prototype that automatically files inbound email attachments into its document management system.
Data engineering diagnostic and roadmap for a B2B switching service
A B2B switching service for energy, telecoms and insurance
A fast-growing B2B switching service needed an objective assessment of its data engineering stack to reduce key-person risk and support a shift to real-time, personalised customer experiences.
Deploying advanced data engineering to accelerate investment data processing
An asset management firm
How QuantSpark cut an asset manager's end-to-end investment-data processing time by 70%, giving portfolio managers faster access to the data behind their decisions.
Automating an ESG asset manager's annual portfolio investment review
An ESG-focused asset manager
An ESG-focused asset manager cut its annual portfolio investment review from 40 days to one through an automated data pipeline and interactive dashboards.
A cloud data lakehouse for an online vehicle-trading platform
An online automobile-trading platform
A cloud-based data lakehouse consolidated siloed sources into a single relational store, enabling business intelligence and analytics across a fast-growing vehicle-trading platform.
Rebuilding macro space planning on a modern analytics platform
A leading UK supermarket group
QuantSpark replaced slow, hard-to-maintain Excel space-planning models with a bespoke Python analytics platform that is now the backbone of macro space decisions across the estate.
A structured roadmap for AI in a regulated contract research organisation
A global specialist contract research organisation
A global specialist contract research organisation carried heavy manual overhead across finance, proposals and reporting, with no structured way to identify where AI could help. QuantSpark delivered a four-week discovery that produced a ranked, governance-aware roadmap of prioritised AI opportunities.
A minimum viable range: cutting SKUs without losing revenue
A private-equity-backed UK pet superstore chain
A private-equity-backed UK pet superstore chain carried a dog food range that had ballooned to around 1,930 SKUs, yet most of its sales came from a few hundred. QuantSpark’s fixed-fee, 10-week range review cut core SKUs by 46% while retaining 95% of revenue.
Predicting churn to protect a compliance SaaS business
A health and safety compliance SaaS and accreditation business, owned by a UK private equity house
A health and safety compliance SaaS and accreditation business wanted to move from BI reporting to predictive retention. QuantSpark built a proof-of-concept churn model that identified the customers most likely to leave at renewal, enabling prioritised outreach.
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.
A repeatable data-science playbook across a private equity portfolio
A leading European software-focused private equity investor
QuantSpark built a repeatable data-science playbook for a leading European software-focused private equity investor, deploying cloud data platforms and machine learning across its portfolio to reduce churn, sharpen renewals and evidence growth.
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.
Turning a Covid supply shock into $3.8m of recovered revenue
A premium global footwear and lifestyle brand
A premium global footwear and lifestyle brand was left simultaneously over- and under-stocked when the pandemic disrupted its supply chain. QuantSpark built a single optimisation model, powered by machine learning demand forecasting, that recovered $3.8m in net revenue over six months.
Generative AI that turns days of government research into minutes
A UK government department
QuantSpark built a generative-AI research application for a UK government department, letting staff search, generate and summarise large volumes of international documents, resolutions and records. Work that once took up to 10 hours per query was reduced to minutes.
Automating business intelligence to prioritise sales leads in real time
A high-growth cloud software (SaaS) provider
QuantSpark converted a manual, Excel-based reporting process into automated SQL pipelines feeding a business intelligence tool, saving 1.5 full-time equivalents and enabling sales leads to be prioritised in real time.
Global Asset Manager Boosts Investment Decisions with Data-Driven Insights
Global Asset Manager
QuantSpark partnered with a global asset manager to streamline investment workflows by integrating fragmented data sources and enabling rapid prototyping.
AI-Powered Geopolitical Risk Tool Boosts Efficiency and Reduces Risk
Leading UK Organisation
QuantSpark developed an advanced AI-powered geopolitical risk tool, processing over 1 million data points in hours to enhance operational efficiency and reduce risks.
Building a private equity value-creation data stack with Chronograph
Chronograph
Returns now come from inside the portfolio company, not from cheap leverage. QuantSpark and Chronograph built a three-stage data stack that compresses portfolio monitoring from days to minutes and gives deal teams one live source of truth for every KPI.
Mapping emerging demand to localise a retailer's vegan range
A leading UK grocery retailer
QuantSpark built a probabilistic demographic model and heatmap to estimate vegan population density at postcode level, informing store-specific ranging that was rolled out nationally across more than 750 stores.
Real-time dashboards to evaluate a churn prediction model
Private equity-backed cyber security software provider
A cyber security software provider needed to know whether its churn and downsell prediction model was working in production. QuantSpark built a dashboard suite that replaced slow, ad-hoc analysis with real-time visibility for the board.
Uncovering £25m of revenue at risk in cruise retail pricing
International travel retailer (cruise division)
An international travel retailer's cruise division was losing margin to thousands of undetected pricing errors. QuantSpark's analytics surfaced more than 120,000 pricing conflicts, equivalent to £25m of revenue at risk.
Predicting renewals and reducing churn at scale
Enterprise cyber security software provider
A large cyber security software provider had seen churn creep up to nearly 8%, well above the SaaS benchmark. QuantSpark's predictive renewals approach is projected to add up to $30m a year by lifting gross retention.
Validating a private equity buy-and-build strategy with recurring-revenue analytics
A private equity owned B2B SaaS group
A private equity owned B2B SaaS group had grown by acquisition, but its business units tracked customers on different systems. Consolidated recurring-revenue analytics gave investors a like-for-like view that validated the buy-and-build thesis.
An AI roadmap to defend a data moat against generative AI commoditisation
A leading data-centre market-intelligence provider
A leading provider of data-centre market intelligence faced the erosion of its proprietary data moat as generative AI commoditises data synthesis. QuantSpark delivered a four-week AI strategy and roadmap sequencing the shift from data provider to decision platform.
Lead scoring model lifts sales conversion by 20%
Private equity-backed price comparison and switching service
A price comparison and switching service wanted to point its finite outbound sales team at the highest-value leads. QuantSpark's propensity model delivered a 20% increase in conversion rate.
Accelerating data-driven decision-making with embedded analytics consultants
An ESG-focused investment manager
How embedded, secondment-style analytics consultants helped an ESG-focused investment manager deploy advanced analytics fast, without the cost or commitment of permanent hires.
Automating performance fee calculations for accuracy and efficiency
An asset management firm
How automating performance-fee calculations helped an asset manager cut calculation time and discrepancies while improving revenue forecasting.
Embedding a seconded data team on an equities investment desk
A global equities investment team
A global equities investment team gained advanced analytics capability through a seconded QuantSpark data team, delivering proofs of concept and automating its yearly portfolio review.
Sourcing a senior data analyst to restart a retailer's analytics programme
A leading UK retailer
QuantSpark Talent sourced and onboarded a senior data analyst for a UK retailer whose analytics programme had stalled, restoring capability across pricing, marketing, personalisation and strategy.
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.
An interactive data cube supporting the sale of a SaaS business
A private-equity-backed SaaS business
Forensic revenue and churn analytics, delivered as interactive dashboards, withstood investor scrutiny and reinforced the valuation of a SaaS business during its sale.
Standardising revenue policies for a buy-and-build exit
A private-equity-backed professional services group
Standardised revenue-recognition, work-in-progress and fee policies unified a multi-entity professional services group's reporting, simplifying integration and preparing it for exit.
Predictive churn model drives over £1m in EBITDA
Private equity-backed accounting and HR software provider
A software provider wanted to focus retention effort on its highest-risk customers. QuantSpark's machine-learning model identified likely churners four times more accurately than random selection, supporting an estimated £1m-plus in EBITDA.
Government department: 80% faster contract review with AI
UK central government department
A central government department was reviewing thousands of contracts manually for compliance with new procurement rules. We deployed ContractCube and reduced review time from weeks to hours.