HUL’s market leadership depends on how fast it senses, understands, and acts on shifts in consumer demand, especially in high-growth categories like skin care. SCIKIQ’s AI-first data fabric transforms scattered data into actionable business intelligence — so you don’t just see what’s happening, you fix it before competitors react.
Contextualize your enterprise data — from sales and supply chain to consumer insights and compliance — into AI-ready products that fuel growth, margin, and agility in the world’s most competitive FMCG market.
Captured from 15 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 fragmented sales, supply chain, and market data across SAP, Salesforce, Nielsen, and distributor networks, giving HUL a real-time, end-to-end view of category performance — down to SKU, region, and channel.
GrowthModels relationships between consumer trends, inventory, promotions, and competitor activity, so root causes of sales shifts or stock-outs in skin care are instantly traceable — not buried in silos.
Competitive AdvantageLets brand managers and supply planners ask natural-language questions like 'Why did Lakmé Serum sales drop in West India last month?' and get grounded, explainable answers — not just dashboards.
Operational EfficiencyAutonomously triggers corrective actions — e.g., reallocates inventory, adjusts digital campaigns, or issues urgent PO to a vendor — with full audit trail and compliance checks, protecting revenue and margin.
ProfitabilityMonitors regulatory, quality, and sustainability risks (e.g., FSSAI, packaging EPR) across the value chain, surfacing violations or audit triggers before they hit the bottom line.
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 all core business data: sales, supply chain, consumer insights, distributor performance, and financials — for a single, trusted view.
Maps the relationships and drivers across the value chain — from consumer demand to supply, marketing, and compliance — so you can trace root causes and predict impact.
Natural-language, GenAI-powered Q&A on top of your unified data — with explainability, not hallucination.
Autonomous agents that detect, decide, and act — e.g., optimize inventory, trigger campaign, or alert compliance — with full governance and audit.
Data remains in HUL’s core systems; SCIKIQ unifies business concepts — not just tables — to create a living, cross-silo view of categories, SKUs, channels, and vendors.
200+ pre-built FMCG connectors ingest data from SAP, Salesforce, Ariba, Nielsen, and more — no code required.
Maps data to business entities (SKUs, regions, vendors, promos) and aligns metrics for apples-to-apples reporting.
De-duplicates, links, and models relationships across SKUs, supply events, and market share shifts.
Applies data quality, lineage, and access controls — with full audit and compliance traceability.
Unified view of category P&L, SKUs, margin, and market share across all channels.
Tracks every SKU’s sales, inventory, supply chain events, and compliance status.
Integrates modern trade, e-commerce, and distributor data for true omnichannel visibility.
Monitors vendor performance, on-time rates, and compliance for every supply partner.
Connects promo spend, ROI, and competitor activity to real sales impact.
SCIKIQ delivers a unified, contextualized data fabric in <6 months — not years — with 85% faster integration and 70% lower prep cost. HUL’s teams focus on growth, not plumbing.
Goes beyond reporting: connects root causes across silos, enables semantic Q&A, and closes the loop with autonomous agents — not just dashboards and alerts.
Purpose-built for FMCG: 200+ connectors, business-contextual models (SKU, channel, promo, vendor), and rapid time-to-value for category and supply chain teams.
Grounds every answer in HUL’s real data, with full lineage and explainability — no hallucination, no compliance risk.
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 in plain language — get answers grounded in HUL’s real data, not just dashboards. 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 revenue, margin, and market share data across all channels; trace root causes of dips and trigger corrective action instantly.
Monitor every SKU’s inventory, supply events, and vendor status; proactively resolve bottlenecks before they hit sales.
Integrate sales, stock, and promo data for every channel; optimize allocation and campaign ROI.
Track vendor performance, compliance incidents, and sustainability targets; automate early warning and remediation.
Connect promo investment to real sales and inventory outcomes; optimize spend and avoid ROI erosion.
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.
Stand up a unified, real-time view of skin care category performance and supply chain events.
Model relationships, automate root-cause analysis, and enable natural-language Q&A for business users.
Deploy autonomous agents for incident remediation and proactive value creation.
In 90 days, HUL’s skin care business shifts from reactive firefighting to proactive, autonomous value creation — with measurable gains in revenue, margin, and market share.