Unify supply chain, manufacturing, and customer intelligence to outpace competitors and protect margin in India's high-growth lubricants market.
SCIKIQ enables Valvoline Cummins to activate data across plants, distributors, and OEM relationships—detecting risks, optimizing working capital, and powering agentic AI for real-time value creation.
Captured from 24 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.
Gain real-time visibility into plant output, distributor inventory, and OEM demand—enabling proactive decisions that reduce stockouts and lost sales.
GrowthTrace disruptions from raw material delays to margin leakage—linking supply events, plant efficiency, and customer orders in one causally connected graph.
ProfitabilityAsk 'Why is fill rate dropping in North India?' and get a grounded, explainable answer—rooted in real-time data, not dashboard guesswork.
Operational EfficiencyAutonomously trigger replenishment orders, compliance checks, or price adjustments—closing the loop and protecting ₹4.5 Cr EBITDA per incident.
Competitive AdvantageVisualize regulatory exposure and compliance gaps across plants, vendors, and products—reducing audit risk and compliance violations by 95%.
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.
Integrate SAP, plant MES, distributor portals, and CRM for unified, real-time business visibility.
Model relationships across plants, products, vendors, and compliance to trace root causes and impact.
Conversational, explainable AI answers for plant managers, supply chain, and finance leaders.
Autonomous agents execute replenishment, compliance, and pricing actions—closing the loop.
Data remains in SAP, CRM, and compliance systems; SCIKIQ integrates business concepts—plants, SKUs, vendors, orders, and compliance—into a single, actionable 360.
200+ pre-built connectors rapidly ingest SAP, CRM, and compliance data—no rip-and-replace.
Business rules and metadata engine map plants, SKUs, vendors, and orders to real business entities.
Golden records unify multiple sources; relationships are modeled into a knowledge graph for true causality.
Lineage, quality, and compliance checks ensure trust, auditability, and regulatory alignment.
All plant output, schedules, downtime, and inventory in one view—enabling proactive production management.
Unified distributor orders, fill rates, inventory, and payment status—powering sales and service excellence.
End-to-end OEM order, margin, and fulfillment status—protecting strategic relationships and revenue.
All vendor performance, compliance, and contract data—enabling resilient, compliant sourcing.
Real-time view of working capital, margin, and cash—driving better financial decisions.
SCIKIQ delivers an 85% faster integration and 60% lower TCO than custom data projects—no need to stitch SAP, CRM, and compliance data manually.
Move beyond dashboards—SCIKIQ's knowledge graph and agents close the loop, not just visualize KPIs. Root-cause, act, and verify in one flow.
Purpose-built for manufacturing and supply chain—contextualizes plants, SKUs, and compliance for real business impact, not just data plumbing.
Grounded, explainable answers—Copilot is always connected to real SAP and compliance data, not hallucinated text.
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 plain-language questions about supply, margin, and compliance—get answers you can act on. 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.
Detects supply disruptions, traces root cause, and autonomously triggers alternate sourcing—protecting fill rate and sales.
Unifies plant, inventory, and order data; Copilot explains output drops and agents restore schedules in real time.
Links order status, fill rates, and margin—Copilot quantifies risk and agents trigger pricing or fulfillment actions.
Automates cash release, dunning, and compliance checks—reducing working capital days and audit risk.
Maps all certifications, filings, and audit trails—agents flag gaps and prevent violations before they occur.
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.
Rapidly integrate SAP, CRM, and compliance data into a unified business 360.
Model relationships and trace root causes across supply, production, sales, and compliance.
Deploy AI Copilot and autonomous agents to close the loop on supply, cash, and compliance.
Valvoline Cummins gains unified, actionable data—delivering faster growth, margin protection, and compliance at scale.