Growth
Industrial manufacturer
Anticipating price-volume effects with price elasticities
Polynom built an elasticity model and price recommendations to anticipate price-volume effects and competition.
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Transformation grounded in business needs
Each engagement starts with a practical need and brings together the capabilities required to address it. Explore the approaches, solutions delivered and documented outcomes.
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Data & AI
Confidential client
Organising scattered data for use cases
Polynom defined a data strategy and a data lake to organise scattered data. The result is a deployed data foundation.
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Operations
Industrial company
Predictive maintenance: −30% failures, −40% associated costs
Polynom set up predictive maintenance to anticipate failures on compression stations and reduce the costs that follow.
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Construction software publisher
Making better use of construction studies
Polynom delivered analytics and recommendations on construction studies, so the company can make better use of them.
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Products and services
International luxury house
Growing cross-sales with AI recommendations
Polynom developed a recommendation engine using deep learning and reinforcement learning, incorporating merchandising rules and international deployment.
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Major automotive parts distributor
Dynamic pricing: +5.6% margin
A machine learning engine, progressive data integration and real-time APIs to automate dynamic pricing.
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People and work
Major banking group
Informing HR decisions as roles evolve
Impact analysis, a role-and-skills approach, presentations and discussions with the group and its entities.
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Major insurance group
Assessing the impact of AI across 50 job families
Analysis of activities, uses, perceptions and skills, followed by HR recommendations and discussion workshops.
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Major retailer
Opening access to business data through natural language
Polynom supported a conversational BI project connecting natural-language questions to data and business definitions. A first version was validated against reference figures.
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International banking group
Sharing AI capabilities on a common platform
Within a joint consulting and engineering delivery team, Polynom defined the target architecture, migration roadmap and reusable services across public and private cloud.
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B2B software provider
Tailoring renewal price increases to each customer
The engagement combined a pricing diagnosis, differentiated increases and preparation for implementation at renewal.
Explore the caseGrowth
Industrial components manufacturer
Structuring pricing for ERP integration
The engagement structured volume-based pricing and customer discounts, then prepared the rules for ERP integration.
Explore the caseGrowth
Industrial vehicle rental company
Predicting maintenance costs to inform profitability decisions
Polynom developed the architecture and calculations required to generate predictive cost schedules, preparing their integration into business tools.
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B2B distributor
Guiding product selection to improve conversion
Polynom integrated a conversational agent into the e-commerce journey. Guided questions clarify the need and the catalogue is updated automatically.
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Social protection group
Creating a personalised nutrition coaching service
Polynom designed a web application combining an AI questionnaire, personalised coaching and a gamified journey. The service turns a prevention goal into a concrete user experience.
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Building services company
Turning meeting minutes into usable business data
Polynom developed a pipeline combining OCR, agent-based extraction and validation to identify decisions, votes, budgets and service providers, then integrate the data into business systems.
Explore the caseOperations
Specialist automotive insurer
Automating claims declaration processing
Polynom built a chain of specialist agents to read documents, analyse faults, check coverage and review prices. The workflow brings together the evidence needed to assess a claim and routes exceptions to a claims handler. Quote data is extracted with 93% accuracy.
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