Ekimetrics
ekimetrics.com
Overview
Ekimetrics combines business-oriented analytics advisory with technical implementation rather than operating solely as a software vendor or research provider. Customer cases document AI roadmaps, bespoke model development, integration with CRM and operational systems, application deployment, and adoption support. Its offerings are particularly relevant when a buyer needs to turn a defined commercial or operational decision into a working analytical system. Procurement should distinguish custom delivery, proprietary platform access and ongoing support, because the reviewed evidence does not establish uniform ownership or operating arrangements across these services. [1] [2] [3] [4]
Services and delivery
Marketing Mix Modeling implementation
Implementation. Builds econometric marketing models and deploys planning tools to inform investment across markets and brands. The Accor engagement includes One.Vision deployment, user training and ongoing program support. This establishes analytics implementation, but does not by itself establish machine-learning delivery or a managed-service SLA. [3]
Commercial forecasting and optimization
Implementation. Provides AI-supported predictive modeling for demand forecasting, uncertainty assessment and scenario simulation. The commercial offering also covers assortment evaluation and store-network or distribution modeling to inform investment decisions; it should not be read as physical logistics implementation. [5]
AI strategy and use-case roadmap advisory
Advisory. Helps identify AI use cases, estimate implementation effort and secure executive alignment around a delivery roadmap. A tourism-sector engagement documents a three-year AI development plan, separately from the subsequent technical implementation. [1]
Machine-learning lead-scoring implementation
Implementation. Develops bespoke machine-learning lead scoring and integrates the resulting solution into CRM and call-center systems. The documented tourism engagement also included supporting data-lake improvements and training, connecting model development with operational adoption. [1]
AI formulation recommendations and testing workflows
Implementation. Develops predictive models and formulation recommendations for chemists using machine learning and Design of Experiments. A beauty-sector engagement includes a digital testing workflow, UX/UI work, cloud data processes, an industrialized data lake and field training. The evidence does not identify a cloud provider or ML framework. [6]
Azure enterprise knowledge chatbot implementation
Implementation. Assesses documentation, prepares source material, prototypes Q&A chatbots, runs staff testing and deploys within a customer’s Azure environment. The documented engagement distinguishes one deployed chatbot from four additional proofs of concept; no particular foundation-model vendor is established. [7]
Conversational analytics and AI agent integration
Implementation. Builds natural-language interfaces for exploring data, comparing metrics and producing charts or map-based analysis. A plastic-waste application documents AI agent integration and adjustment to user intent, but does not specify whether this involved model-weight fine-tuning or application-level tuning. [8]
Predictive-maintenance AI platform implementation
Implementation. Implements AI platforms integrated with existing information and operational systems. The Getlink case documents predictive maintenance using automated weak-signal analysis. Remote diagnostics, spares optimization and a procedure-based RAG assistant are described as roadmap extensions, not established completed deployments. [2]
Environmental assessment AI deployment
Implementation. Deploys the proprietary ESG Copilot solution to estimate environmental impacts and generate recommended actions using machine learning and generative AI. A French-bank case establishes customer implementation rather than software description alone, although licensing and support arrangements are unspecified. [9]
Eki.Decisions platform
Software product. Provides a shared decision environment connecting marketing, pricing, portfolio, sales and capital-allocation choices through common models and governance. This is a product offering; platform access alone should not be treated as evidence of consulting or implementation services. [4]
Eki.Lab research
Research. Conducts research covering forecasting, generative AI, multimodality, optimization, responsible AI and MLOps, with scientific publications and open-source libraries. These research activities do not independently establish purchasable implementation services in each subject. [10]
Company details
Industries and client fit
Documented applications span hospitality marketing at Accor, rail operations at Getlink, beauty formulation and luxury-watch retail. These cases support use-case-specific experience rather than a claim of uniform delivery coverage across every function in those industries. [3] [2] [6] [11]
Engagement and delivery
The cases show delivery extending beyond recommendations: CRM integration for lead scoring, customer-environment deployment for chatbots, and co-building and field training for a formulation application. Accor’s program also includes ongoing support. These are engagement-specific commitments, not evidence of a standardized managed-operations contract. [1] [7] [6] [3]
Track record
Ekimetrics reports that its assortment solution for brands including Jaeger-LeCoultre, IWC, Vacheron Constantin and Piaget reached 3,000 points of sale. The solution combines recommendations with business rules and manual overrides for assortment managers. [11]
For Accor, Ekimetrics reports deployment in five countries and use of model insights by more than 100 employees. For an unnamed French bank, it reports environmental assessment covering 13,000 companies. These are firm-reported deployment figures, not independently verified performance benchmarks. [3] [9]
Scope and limitations
The supplied evidence supports AI implementation, but does not establish general 24/7 operations, incident-response commitments or model-maintenance SLAs.
Azure is explicitly documented for one chatbot engagement. Broader cloud-provider coverage, foundation-model choices and ML frameworks remain unverified.
Several technical cases leave the customer unnamed, limiting public reference checks.
The legacy GenAI service URL redirected to a homepage during the supplied research; the AI delivery assessment therefore rests on substantive customer cases and current commercial evidence.
Getlink savings figures are estimates and its stated improvement by 2026 is a target, not a verified achieved result.
Questions to ask
Which deliverables are custom-built, which depend on proprietary platforms, and who owns the models, code and resulting data assets?
What production acceptance tests, model evaluations and business baselines will define success?
Who owns deployment, monitoring, retraining and incident handling after launch, and what support commitments are contractual?
Which hosting, data-residency and integration constraints apply to the proposed solution?
Can Ekimetrics provide references for comparable production deployments, distinguishing pilots from live systems?
How are platform fees, implementation work, training and ongoing support separated in the commercial scope?
Sources 11
- Walking the data journey to drastically empower customer centricity through data science - Ekimetrics
- Getlink turns to AI to optimize the efficiency of its rail network - Ekimetrics
- How Accor optimized its investment marketing thanks to Marketing Mix Modeling
- Eki.Decisions
- Commercial Analytics Solution - Anticipate Demand, Drive Growth - Ekimetrics
- Accelerating formula approval and innovation in beauty with AI
- How a Q&A chatbot transformed information access and enhanced internal knowledge
- Talk to your data: Conversational AI interface to explore and visualize plastic waste data with Natural Language
- Blending Generative AI and machine learning to assess the environmental performance of 13,000 French companies - Ekimetrics
- Data Product Deployment - Ekimetrics
- How brands like Jaeger-LeCoultre and IWC harnessed AI to optimize assortments across 3,000 retail locations