200+ connectors — every source, no latency, no code.
Contextualize, model and prepare data for every team.
Governed, lineage-traced, compliant by design.
Copilots, agents, data products and APIs that act.
Unifies L'Oréal India's sales, marketing, supply chain, and customer data across divisions, brands, and channels.
Models relationships among products, campaigns, customers, inventory, and compliance events.
Natural-language answers to business questions, grounded in contextualized L'Oréal India data.
Autonomous agents execute business actions—inventory rebalancing, campaign launches, compliance closure.
Connect 200+ pre-built connectors to SAP SCM, Salesforce, Shopify, Oracle Retail, and more.
Enrich raw data with business context—brands, channels, geographies, campaigns, compliance.
Resolve entities (products, customers, vendors) and model relationships in a unified graph.
Apply lineage, quality, and compliance controls—trace every KPI to its source.
SCIKIQ delivers 85% faster integration and 60% lower TCO—no-code, AI-first, and proven in complex, multi-brand environments like L'Oréal.
Moves beyond siloed dashboards—unifies business context, enables root-cause tracing, and powers autonomous agents for real action.
SCIKIQ contextualizes data for beauty-specific business objects—products, channels, campaigns, compliance—not just raw tables.
Answers grounded in L'Oréal's real business graph—no hallucinations, full traceability, and explainable AI for board-level trust.
Trace margin erosion to inventory, campaign, and compliance incidents—close gaps, avoid penalties, and protect EBITDA.
Model campaign effectiveness, segment customer response, and trigger targeted recovery actions.
Detect allocation delays, rebalance inventory, and prevent stockouts—across brands and channels.
Flag incidents, trace affected products, and post corrective actions—avoiding penalties and unlocking sales.
Integrate sales across e-commerce, retail, and salons—spot gaps, optimize pricing, and accelerate growth.