Case studies
Client work across consumer goods, baby and juvenile, retail, manufacturing, and chemicals and base ingredients. Filter by sector, or by the core technology behind it.
Results as reported by our clients.
€800m+size of prize identified, by 2028
Digital adoption had stalled at 2% of customers. Cleaned data, cohort and lookalike modelling and a Value Realisation Office replaced belief with evidence.
20+markets live, Gartner award-winning
One on-pack code proves provenance from field to home, and doubles as a loyalty channel that feeds sales, pricing and forecasting.
3.5 mofrom planning to production
Finding an answer meant guessing where a file lived. Now source-linked answers come back through one interface, with governance designed in before scale.
1.5 FTEa week spent on manual shift planning, before
A solver owns scheduling and compliance across nine production lines. AI explains each plan and explores what-ifs; the planner approves every go-live.
~90%of analyst time lost to data preparation, at the start
Two planning systems combined into one trusted view of accuracy and bias, with machine-learning models moving into production and self-service.
+40%uplift among engaged customers, as reported
A heritage infant-nutrition brand moved from one message for everyone to next-best-action automation across roughly 40% of its customer base, built on first-party data.
5×market share growth for a new product launch
Every funnel element was tested and optimised weekly instead of betting on an upfront plan, with KPIs set for rollout across Japan, EMEA and North America.
400+ → 89ideas triaged to costed, governed cases
A global home-furnishings retailer surfaced ideas from the people closest to the work, then ranked and routed each one: build, reuse, refer or park.
Globaltechnology backbone, redesigned to fit every market
A central platform choice had priced smaller country teams out of using it. We took over the rollout and redesigned the model so cost scales with the team, not against it.
Meet the team that delivered these results, and explore what a similar approach could do in your business.
Filter by sector and core technology, or search by title.
Sector
Core technology
Showing all 37 case studies
| Case study | Sector | Core technology | Link |
|---|---|---|---|
Standing up a Databricks lakehouse as the single data foundationFragmented warehouses and extracts consolidated into one governed lakehouse, with the catalogue, lineage and access model agreed before the first workload moved. | Consumer goods | Data and analytics | |
Moving model training and serving onto the lakehouseModels that ran on analyst laptops rebuilt as managed pipelines on Databricks, with versioned features, scheduled retraining and serving the business can depend on. | Chemicals and base ingredients | Machine learning | |
Unifying sales and marketing data to drive commercial growthDigital adoption had stalled at 2% of customers. Cleaned data, cohort and lookalike modelling and a Value Realisation Office replaced belief with evidence. | Chemicals and base ingredients | Data and analytics | |
Turning product traceability into a direct line to the consumerOne on-pack code proves provenance from field to home, and doubles as a loyalty channel that feeds sales, pricing and forecasting. | Baby and juvenile · Consumer goods | Cloud and platforms | |
Turning a vast document estate into trusted, governed answersFinding an answer meant guessing where a file lived. Now source-linked answers come back through one interface, with governance designed in before scale. | Chemicals and base ingredients | AI and agents | |
Optimising 24/7 workforce planning without losing the planner’s judgementA solver owns scheduling and compliance across nine production lines. AI explains each plan and explores what-ifs; the planner approves every go-live. | Manufacturing | Machine learning | |
Rebuilding demand forecasting on a predictive core, mid-migrationTwo planning systems combined into one trusted view of accuracy and bias, with machine-learning models moving into production and self-service. | Consumer goods | Machine learning | |
From broadcast to the next-best-action, per customer and life stageA heritage infant-nutrition brand moved from one message for everyone to next-best-action automation across roughly 40% of its customer base, built on first-party data. | Baby and juvenile · Consumer goods | Machine learning | |
From guesswork at launch to a repeatable conversion playbookEvery funnel element was tested and optimised weekly instead of betting on an upfront plan, with KPIs set for rollout across Japan, EMEA and North America. | Baby and juvenile | Digital experience and commerce | |
From scattered AI tests to a governed, costed pipelineA global home-furnishings retailer surfaced ideas from the people closest to the work, then ranked and routed each one: build, reuse, refer or park. | Retail | AI and agents | |
A technology backbone that smaller markets can afford to useA central platform choice had priced smaller country teams out of using it. We took over the rollout and redesigned the model so cost scales with the team, not against it. | Consumer goods | Cloud and platforms | |
Unlocking insight: transforming documents with AI and RAGAI-powered transformation of library indexing and search. | Other sectors | AI and agents | |
From data to Olympic gold: data analytics that powered Dutch sailing medalsTransforming Dutch national sailors’ performance with advanced data insights. | Other sectors | Data and analytics | |
Utilising cloud and AI services to drive Digital Asset Management productivityAI, GenAI and ML to drive adoption and cost efficiencies. | Consumer goods | AI and agents | |
Predict and visualise energy consumption with ML and AI for telecom giantsForecasting and visualising energy use with machine learning and GenAI. | Other sectors | Machine learning | |
Consumer loyalty: building attribution models and digital consumer pathsData analytics, machine learning and programmatic decision-making. | Consumer goods | Data and analytics | |
Employer branding: bringing pride to employees, and momentum to recruitmentIncreasing employee satisfaction and corporate success. | Chemicals and base ingredients | Digital experience and commerce | |
Using a central Natural Language Processing (NLP) platform for multiple use casesImproving customer service, data and marketing with NLP. | Chemicals and base ingredients | AI and agents | |
Data pipelines for effective data managementAccurate data reporting in Power BI, from source to dashboard. | Retail | Data and analytics | |
Data quality assuranceReassurance that data is accurate at each stage of the reporting process. | Chemicals and base ingredients | Data and analytics | |
Enterprise applications of LLMs and generative AIExploring commercial applications of large language models and generative AI. | Retail | AI and agents | |
Empowering operational excellence: a Power Apps transformation journeyIndustry 4.0 transformation of an FMCG giant. | Consumer goods | Automation | |
redLine: cloud computing cost optimisationReal-time cost reporting and recommendations with Portera redLine. | Sector not listed | Cloud and platforms | |
Machine learning and RPA transforming purchase order processingReducing costs and increasing efficiency through innovation. | Chemicals and base ingredients | Automation | |
Operations: streamlining supplier paymentsDriving performance efficiency by automating supplier interactions. | Chemicals and base ingredients | Automation | |
Connecting business dataUnlocking tangible value and increased revenue per customer. | Baby and juvenile | Data and analytics | |
Operations: secure document generation and distributionControlling the automated distribution of sensitive documents. | Chemicals and base ingredients | Automation | |
People performance: deploying technology to drive behaviour changeCreating behaviour change through gamification of the work environment. | Consumer goods | Digital experience and commerce | |
From chaos to clicks: low-code and no-code for citizen developersStreamlining operations with citizen developers. | Sector not listed | Automation | |
Achieving customer loyaltyA new approach to driving mass product engagement, data and repeat sales. | Baby and juvenile | Digital experience and commerce | |
Data-driven decision-makingTranslating business problems into analytics questions. | Retail | Data and analytics | |
E-commerce conversion rate optimisationOutstripping the competition. | Retail | Digital experience and commerce | |
Advancing efficiency with cloud computingCloud Competence Centre creation and management. | Consumer goods | Cloud and platforms | |
Data Centre of ExcellenceGenerating value from potential. | Consumer goods | Data and analytics | |
Salesforce Service CloudBusiness transformation and change management. | Consumer goods | Cloud and platforms | |
Digital experience designBuilding stand-out experiences. | Consumer goods | Digital experience and commerce | |
Business intelligence and reportingBuilding actionable insight and reporting through data. | Consumer goods | Data and analytics |
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