Legrand faces mounting complexity: 90+ countries, 180 markets, and a surge in datacenter-driven growth. Yet, siloed data and fragmented business visibility threaten margin, working capital, and competitive speed. SCIKIQ transforms Legrand’s scattered data into actionable intelligence—enabling real-time control, AI-driven insight, and autonomous execution across the Group.
Don’t just collect data—activate it. SCIKIQ delivers 85% faster integration, 70% lower data-prep cost, and 5x faster time-to-market for data products, powering Legrand’s growth, cash, margin, and compliance.
Captured from 25 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 sales, inventory, production, and financial data across 90+ countries for real-time visibility—enabling leaders to spot margin erosion, demand shifts, and cash leaks instantly.
Operational EfficiencyModels relationships between customers, assets, vendors, and events—revealing root causes of stockouts, delayed collections, and compliance risks across Legrand’s global footprint.
Competitive AdvantageDelivers instant, explainable answers on margin, working capital, and risk—grounded in Legrand’s business context, not generic dashboards.
ProfitabilityAutonomously resolves incidents—optimizing inventory, accelerating collections, and enforcing compliance, posting actions to SAP, Oracle, and CRM systems.
Cash & ComplianceConnects datacenter growth, acquisition integration, and supply chain events—enabling Legrand to respond to demand spikes and operational disruptions faster than Schneider, ABB, or Siemens.
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.
Unifies sales, production, inventory, and finance data across geographies for real-time business visibility.
Models relationships and causality between customers, assets, vendors, and events—revealing root causes.
Delivers explainable, business-grounded answers—margin, cash, compliance, and risk in plain language.
Autonomous agents execute fixes—optimizing inventory, collections, and compliance, posting to core systems.
Data stays in place; SCIKIQ integrates business concepts across SAP, Oracle, CRM, MES, and IoT platforms—creating entity 360s for each line of business.
Ingest data from SAP, Oracle, CRM, MES, and IoT systems across 90+ countries.
Map business entities—customers, assets, vendors, events—to Legrand’s real operations and segments.
Link and deduplicate entities; model relationships and causality in the Knowledge Graph.
Apply lineage, quality, and compliance controls for audit-ready, trusted data.
Unifies customer segments, accounts, and demand signals for targeted growth and collections.
Tracks plant utilization, product inventory, and connected assets for margin and operational efficiency.
Integrates vendor lead times, onboarding, and compliance for supply chain resilience.
Maps regional ops, inventory, and cycle times for global visibility and control.
Unifies receivables, DSO, margin, and cash conversion for financial discipline.
SCIKIQ delivers 85% faster integration and 70% lower data-prep cost—no-code, AI-first, and proven at global scale. Avoid years of custom build and risk; activate Legrand’s business in <6 months.
BI dashboards show what happened; SCIKIQ connects, contextualizes, and activates Legrand’s data for real-time control, root-cause tracing, and autonomous execution—beyond reporting.
SCIKIQ is business-first: entity 360s, knowledge graph, and agent factory tailored to Legrand’s segments, not just raw data plumbing. Monetize data, not just store it.
GenAI Studio is grounded in Legrand’s business context—explainable, compliant, and actionable. No hallucinations; answers are always traceable and auditable.
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.
Ask anything about Legrand’s business—margin, cash, risk, or operational events. Copilot answers in plain language, grounded in real business context. 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.
Unify receivables, customer segments, and regional ops; Copilot answers root causes and Agent Factory triggers targeted collections—reducing DSO by 15 days, unlocking $42M in cash.
Enterprise 360 reveals inventory build-up; Knowledge Graph traces supply chain delays; Copilot explains margin risk; Agent Factory posts inventory reduction plans—unlocking $28M working capital.
Trace vendor onboarding delays to compliance breaches; Copilot explains risk; Agent Factory posts remediation workflows—reducing incidents by 95% and protecting Legrand’s rating.
Copilot senses demand spikes; Agent Factory triggers pre-emptive inventory and PO adjustments—preventing stockouts and capturing $18M incremental revenue.
Unified dashboards and explainable answers across sales, margin, cash, and compliance—enabling faster, smarter decisions at Group level.
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, Oracle, CRM, MES, and IoT data; build entity 360s for key business segments.
Model relationships, causality, and incidents; deploy AI Copilot for explainable answers.
Deploy autonomous agents for inventory, collections, compliance, and demand sensing.
Unified, activated data delivers real-time visibility, actionable insight, and autonomous execution—moving Legrand’s needles on growth, margin, cash, compliance, and competitive edge.