Grasim’s next growth leap depends on unified, AI-ready data that drives margin, resilience, and speed across its complex, multi-business portfolio.
SCIKIQ transforms Grasim’s operational and commercial data into actionable intelligence—accelerating time-to-market in paints, protecting margin in chemicals, and unlocking supply chain agility in cement and textiles. The result: faster growth, lower cost, and a defensible edge over rivals like Adani, Ambuja, and Shree Cement.
Captured from 26 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 siloed data from SAP, Oracle, and business platforms to give leadership a real-time, cross-business view—eliminating blind spots in supply, production, and sales.
Operational EfficiencyModels relationships across supply chain, customers, plants, and vendors—pinpointing root causes of disruptions, margin leaks, or compliance risks in minutes, not weeks.
Margin ProtectionExplains complex incidents—like a raw material shortage or a delayed paint launch—in business terms, with grounded answers for every business head.
Competitive AdvantageAutonomous agents act: reroute shipments, trigger alternate sourcing, or auto-reconcile receivables—protecting ₹100+ Cr EBITDA and days of cycle time.
Profitability & CashLinks ESG metrics to operational levers, ensuring sustainability targets (like Livaeco traceability or carbon reduction) are met and auditable.
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.
Integrates data across SAP, Oracle, CRM, and plant systems for a unified business view.
Maps relationships between plants, suppliers, products, and incidents to surface root causes.
Natural-language answers grounded in Grasim’s real data—no hallucinations.
Autonomous agents that execute corrective or value-creating actions directly in SAP/Oracle.
Data remains in SAP, Oracle, and business platforms—SCIKIQ connects, contextualizes, and models Grasim’s real business entities for a unified, AI-ready view.
200+ pre-built connectors ingest from SAP, Oracle, and business platforms without disrupting operations.
Business terms mapped to Grasim’s real entities—plants, customers, vendors, SKUs, and projects.
Entity resolution and graph modeling unify data across LOBs—no more duplicates or blind spots.
Lineage, quality, and access controls ensure compliance and trust for every business user.
Unified view of B2B customers, channel partners, and dealers across all segments.
Performance, contracts, and risk for all suppliers—enabling alternate sourcing and compliance.
Plant operations, capacity, inventory, and ESG metrics in one view.
Receivables, DSO, and cash risk across businesses and customers.
SKU, project, and launch status for paints, chemicals, and textiles.
SCIKIQ delivers 85% faster integration and 60% lower TCO than custom builds—no need to stitch SAP, Oracle, and project systems with costly IT effort.
Goes beyond reporting—contextualizes, reasons, and acts on incidents, not just visualizes them. Automates remediation, not just alerts.
Pre-built for manufacturing, supply chain, and multi-LOB complexity—200+ connectors, business 360s, and agent automation out of the box.
Grounds every answer in Grasim’s real data and context—no hallucinations, full explainability, and enterprise-grade compliance.
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.
Natural-language answers, always grounded in Grasim’s real data and 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.
Unifies receivables data from SAP, UltraTech, and CRM—pinpoints overdue risk, automates dunning, and closes the cash loop.
Maps every supply chain entity—plants, vendors, inventory, projects—traces root causes, and triggers autonomous sourcing or scheduling actions.
Links project, supply, and vendor data—simulates launch plans, resolves bottlenecks, and automates plan updates for Birla Opus.
Links plant, supplier, and product data to ESG metrics—auto-remediates gaps and generates audit-ready records for Livaeco and VSF.
One cockpit for margin, working capital, supply chain, and compliance—root-cause analysis and AI Copilot answers for every business head.
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, and key business platforms; deliver the first cross-business 360 and incident cockpit.
Model relationships, enable root-cause analysis, and activate GenAI Copilot for business Q&A.
Deploy autonomous agents for receivables, sourcing, launch acceleration, and ESG compliance.
In under 90 days, Grasim unlocks a unified, actionable data foundation—delivering measurable gains in margin, cash, launch speed, and compliance.