L'Oréal's China market is the engine of global beauty growth, but competitive, regulatory, and consumer shifts demand real-time insight and rapid action. SCIKIQ turns L'Oréal's fragmented data into actionable intelligence—enabling leaders to see, reason, and act across every channel, product, and consumer touchpoint.
Move from siloed reporting to agentic execution: unify market, consumer, and operations data, model relationships, answer in plain language, and automate fixes—at China speed.
Captured from 23 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 China market sales, e-commerce, retail, and supply chain data for a real-time view of growth, margin, and risk—across all brands and channels.
GrowthModels relationships between consumer trends, product launches, inventory, and competitor moves—so leaders see how market shifts cascade through the business.
Competitive AdvantageAnswers executive questions on China performance, regulatory changes, and consumer sentiment—grounded in unified, governed data.
Operational EfficiencyAutonomously triggers margin-protecting actions: e.g., adjusts pricing, launches targeted campaigns, or resolves compliance gaps—posting transactions to SAP, Salesforce, and Tmall.
ProfitabilityConnects regulatory events, supply disruptions, and consumer feedback to business outcomes—enabling proactive compliance and risk mitigation.
Compliance & RiskBuilt 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.
Unifies L'Oréal's China market data—sales, e-commerce, retail, supply chain, and consumer insights—into a single, governed business view.
Models relationships between products, consumers, channels, competitors, and regulatory events—revealing causal chains and business drivers.
Conversationally answers leadership questions—grounded in unified, governed data, and always explainable.
Automates margin, growth, and compliance actions—posting transactions to SAP, Salesforce, Tmall, and regulatory portals.
Data stays in place; SCIKIQ integrates business concepts across SAP, Salesforce, Oracle, Tmall, JD.com, Douyin, and regulatory portals—building a unified China market 360.
Connects to SAP, Salesforce, Oracle, Tmall, JD.com, Douyin, WeChat, and Gov Portal—200+ pre-built connectors.
Maps and tags key business entities—products, consumers, channels, SKUs, regulatory events—across systems.
Builds business 360s and a knowledge graph—modeling relationships, causality, and incident paths.
Applies data lineage, quality, and access controls—ensuring compliance and explainability.
Unifies consumer profiles, sentiment, repeat rates, and engagement across all channels.
Tracks SKUs, launches, inventory, and margin—linking to regulatory and campaign events.
Integrates e-commerce, retail, and social commerce performance and risk.
Maps regulatory events, incidents, and gaps across products and channels.
Links campaign actions to consumer outcomes, margin, and market share.
SCIKIQ delivers 85% faster data integration and 90% lower IT cost—no-code, AI-first, and proven in global beauty. Avoid years of custom build, unlock agentic execution in months.
SCIKIQ unifies data, models causality, and automates action—beyond dashboards. Leaders get answers and fixes, not just reports.
SCIKIQ contextualizes beauty business entities—products, consumers, channels, compliance—into a knowledge graph and agent factory, not just raw data pools.
SCIKIQ grounds GenAI in governed, explainable business data—delivering trusted, actionable answers and autonomous execution, not hallucinated chat.
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, plain-language answers to the China market's toughest questions—rooted in unified, governed data. 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.
Unifies sales, competitor, and regulatory data to detect margin erosion, trace root cause, and trigger dynamic pricing/campaign actions—protecting €32M gross margin.
Maps regulatory events to product SKUs, quantifies incident risk, and automates compliance resolution—avoiding up to ¥210M penalties.
Integrates inventory, sales, and campaign data to detect stockouts, reason over demand, and autonomously reallocate/replenish—protecting €12M sales.
Unifies consumer sentiment and repeat rate data, traces dips to root cause, and launches personalized campaigns—driving €8M incremental sales.
Detects competitor moves, models impact on channel share, and triggers agentic actions to recover market share across Tmall, JD.com, Douyin, and WeChat.
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, Salesforce, Oracle, Tmall, JD.com, Douyin, and regulatory portals; build unified business 360s.
Model relationships and causality; deploy AI Copilot for executive Q&A and root-cause tracing.
Deploy autonomous agents for margin, compliance, inventory, and consumer engagement actions.
L'Oréal leaders gain real-time, actionable control over China market growth, margin, compliance, and consumer engagement—moving from reporting to agentic execution.