L'Oréal’s innovation and personalization agenda demands more than data collection—it requires real-time, AI-ready activation across 150 countries, 4 divisions, and 44B+ euros in sales.
SCIKIQ’s Data Product Factory empowers L'Oréal to connect, curate, and control every data asset for business 360, knowledge-driven insights, and agentic execution—delivering speed, margin, and competitive edge.
Captured from 20 sources across strategy, leadership, lines of business, competition, geographies, capabilities and recent signals — and used to ground everything below.
The maturity curve runs from visibility, to explanation, to natural-language reasoning, to action — and each step depends on the one before it.
Unifies consumer, product, sales, and supply-chain data across 150 countries and 4 divisions, surfacing real-time business trends and risks—enabling L'Oréal to spot shifts in demand, margin, and compliance instantly.
GrowthModels relationships between brands, channels, customers, and vendors—tracing root causes of margin erosion, stockouts, or compliance incidents across the global ecosystem.
Competitive AdvantageGrounds LLMs and search in L'Oréal’s business context—answering questions on sales, marketing effectiveness, supply chain, and compliance with explainable, actionable insights.
Operational EfficiencyAutonomously executes corrective actions—optimizing inventory, pricing, and compliance workflows, and driving proactive margin and cash improvements across divisions.
ProfitabilityEnables cross-divisional analytics—connecting Professional, Consumer, Luxe, and Dermatological Beauty to identify synergies, cannibalization, and growth opportunities.
GrowthBuilt bottom-up, because trust compounds upward: agents are only as safe as the copilot's grounding, the copilot only as reliable as the graph, the graph only as complete as the 360° model beneath it.
Integrate and unify all core business data across brands, divisions, geographies, and channels.
Model relationships and causality between customers, products, channels, and events.
Conversational AI grounded in L'Oréal’s business context—answers, explanations, and recommendations.
Autonomous agents execute corrective and proactive actions across business processes.
Data stays in place—SCIKIQ integrates L'Oréal's business concepts across SAP ERP, Salesforce Commerce, CRM, and more. We harmonize, contextualize, and govern every asset for AI-ready activation.
Plug into SAP ERP, Salesforce Commerce, CRM, Vendor Portal, and Brand Portal—no-code, 200+ connectors.
Map business entities—brands, channels, customers, vendors, inventory—across divisions and geographies.
Deduplicate, harmonize, and model relationships for a unified business 360 and knowledge graph.
Apply lineage, quality, and compliance controls—ensuring trusted, audit-ready data.
Unified view of B2B salons, retail customers, and e-commerce buyers—driving personalized engagement and retention.
Performance, margin, and incidents across 44 brands—spotting risks and growth opportunities.
Real-time inventory, stockout risk, and replenishment across hubs and channels.
Lead times, compliance, and performance for every supplier—optimizing procurement.
Incidents, audit trails, and regulatory risk—ensuring global compliance.
SCIKIQ delivers 85% faster data integration and 90% lower IT cost—no-code, plug-and-play, with deep business context. L'Oréal avoids years of custom build and risk, activating value in weeks.
Beyond dashboards—SCIKIQ unifies, contextualizes, and activates data for agentic execution, not just reporting. Root-cause traceability and closed-loop action, not siloed analytics.
SCIKIQ is AI-first and business-contextual—mapping L'Oréal’s brands, channels, and incidents for actionable intelligence, not just storage or generic pipelines.
SCIKIQ grounds GenAI in trusted, governed business data—delivering explainable answers and real business outcomes, not hallucinations or compliance risk.
When the four layers are in place, leadership sees a single live view — every number traceable to its source, every alert to its root cause.
Entities and their typed relationships as one connected, physics-driven graph. Drag nodes, scroll to zoom, click to inspect — or trace the live scenario from root cause to business outcome.
Grounded, explainable answers for L'Oréal leaders—no more generic dashboards. Language models supply the fluency; the graph supplies the truth.
Every agent draws on the same graph and semantic layer — then closes the loop with a real transaction in the source system.
“Can we trust it?” — answered by design, not by promise.
Every leader sees themselves — each use case builds on a business 360 and the four pillars it needs: 1 Enterprise 360 · 2 Knowledge Graph · 3 AI Copilot · 4 Agent Factory.
Spot and trace margin erosion from stockouts, vendor delays, and channel mix shifts—activate agents to optimize pricing and inventory.
Unify inventory and vendor data—trace root causes of stockouts, automate replenishment, and improve lead times.
Model incidents and causality—activate agents to resolve supply chain compliance events and post audit trails.
Unify customer data across CRM, e-commerce, and retail—trace satisfaction and churn, activate retention offers.
Model brand relationships, incidents, and margin—identify risks and growth opportunities across divisions.
Built once, the context layer becomes shared infrastructure — so each new AI initiative starts from enterprise context, not a blank integration backlog.
We would prove the context layer in three focused sprints — earning the right to scale with evidence, not slideware.
Connect SAP ERP, CRM, Salesforce Commerce, Vendor Portal, and Brand Portal—build unified business 360s.
Model relationships, incidents, and causality—deploy AI Copilot for explainable Q&A.
Activate agents for inventory optimization, compliance remediation, and proactive client engagement.
L'Oréal achieves unified, contextualized, and activated data—delivering margin, growth, and compliance improvements in under 6 months.