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SCIKIQ × Hindustan Unilever LimitedPitch book
Unify, contextualize and activate enterprise data

Turn every data point intoprofitable actionacross HUL's FMCG portfolio

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.
01Enterprise 360What is happening?
02Knowledge GraphWhy is it happening?
03AI CopilotTell me, in plain language
04Agent FactoryDon't just tell me — fix it
SCIKIQ × Hindustan Unilever LimitedThe problem
Why now

AI isn't an algorithm problem. It's a data-readiness problem.

~70%
of enterprise data goes unused
~12%
of orgs are ready for agentic AI (despite ~80% investing)
$2.3T
of digital spend not delivering ROI
For Hindustan Unilever Limited: 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.
SCIKIQ × Hindustan Unilever LimitedWhat SCIKIQ does
The platform

Contextualizing data — don't just collect data, activate it.

SCIKIQ is an AI-first, no-code data-fabric platform that unifies siloed enterprise data into AI-ready data products — for enterprise-scale intelligence and data monetization.
Connect

200+ connectors — every source, no latency, no code.

Curate

Contextualize, model and prepare data for every team.

Control

Governed, lineage-traced, compliant by design.

Consume

Copilots, agents, data products and APIs that act.

SCIKIQ × Hindustan Unilever LimitedThe architecture
From silos to autonomous execution

Four layers — each makes the next trustworthy

01

Enterprise 360 What is happening across categories, SKUs, and channels?

Integrates all core business data: sales, supply chain, consumer insights, distributor performance, and financials — for a single, trusted view.

02

Knowledge Graph Why is it happening?

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.

03

AI Copilot Tell me, in plain language

Natural-language, GenAI-powered Q&A on top of your unified data — with explainability, not hallucination.

04

Agent Factory Don't just tell me — fix it

Autonomous agents that detect, decide, and act — e.g., optimize inventory, trigger campaign, or alert compliance — with full governance and audit.

SCIKIQ × Hindustan Unilever LimitedEnterprise 360 — the build
Layer 1 · Enterprise 360 — the build

How we unify Hindustan Unilever’s data into one business 360

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.
Systems today — siloed
SAP S/4HANA (ERP, SKU, inventory, financials)SAP IBP (supply chain planning)Salesforce (CRM, promo, channel sales)Ariba (procurement, vendor compliance)Nielsen (market share, competitor data)Distributor Portal (channel orders, inventory)E-commerce platformsRegulatory databases (FSSAI, EPR)
Unify · no data movement
Connect

200+ pre-built FMCG connectors ingest data from SAP, Salesforce, Ariba, Nielsen, and more — no code required.

Contextualize

Maps data to business entities (SKUs, regions, vendors, promos) and aligns metrics for apples-to-apples reporting.

Resolve & model

De-duplicates, links, and models relationships across SKUs, supply events, and market share shifts.

Govern

Applies data quality, lineage, and access controls — with full audit and compliance traceability.

Business 360s — entities
Category 360SAP S/4HANA, Salesforce, Nielsen
SKU 360SAP S/4HANA, SAP IBP, Ariba
Channel 360Salesforce, Distributor Portal, E-commerce
Vendor 360Ariba, SAP S/4HANA
Promo 360Salesforce, Nielsen
These 360s power the Knowledge Graph, connecting every event and entity for root-cause analysis and AI-driven action.
SCIKIQ × Hindustan Unilever LimitedA day in the life
One incident, end to end

From a single signal to revenue impact — traced

Stoc
Stock-outs breach threshold in SAP IBP alerting supply chain and category teams.
Root
Vendor delay flagged in Ariba; 6-day late shipment disrupts packaging supply.
Supp
Demand-supply mismatch triggers urgent review; fill rate drops below 95%.
Lakm
Hero SKU stock-out rate spikes to 7.2% in West India; sales and promo ROI at risk.
Ongo
Digital campaign drives demand, but supply can't keep up — promo ROI threatened.
Lost
₹7.8 Cr lost sales; 0.6% market share lost to L'Oréal in West India.
Comp
L'Oréal promo overlaps with HUL stock-out, capturing incremental share.
No s
Inventory allocation shows zero buffer; triggers cross-region transfer.
Urge
Agent issues PO-8392 to XYZ Packaging via Ariba; ETA 3 days.
Supp
Inventory replenished; Lakmé sales in West India begin to recover.
SCIKIQ × Hindustan Unilever LimitedThe control tower
The outcome

One live, trusted view — for the people who run Hindustan Unilever Limited

Skin Care Category Revenue (₹ Cr)
2,175
-2.1%
Gross Margin (%)
51.2
-0.8
Stock-out Rate (%)
3.7
+1.5
Market Share vs. L'Oréal (%)
24.3
-0.6
DSO (Days)
28
+2
Regulatory Compliance Incidents (YTD)
1
0
Spike in stock-outs for Lakmé and Pond's SKUs in West India due to supply chain disruption.
SCIKIQ × Hindustan Unilever LimitedWhy SCIKIQ
Credibility

Proven — not a science project

Track record
  • Among the top augmented-BI platforms (Forrester)
  • NASSCOM Top-10 Deep-Tech Startup (India)
  • Featured at MWC Barcelona & AWS re:Invent for GenAI
  • World's first GenAI fare-rule engine for an international airline
  • Powers a global logistics & supply-chain leader
  • 200+ pre-built connectors · India · USA · UAE
Why not the alternatives
vs. building it yourself

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.

vs. point tools & BI dashboards

Goes beyond reporting: connects root causes across silos, enables semantic Q&A, and closes the loop with autonomous agents — not just dashboards and alerts.

vs. generic data fabric/lake

Purpose-built for FMCG: 200+ connectors, business-contextual models (SKU, channel, promo, vendor), and rapid time-to-value for category and supply chain teams.

vs. raw LLMs/chatbots

Grounds every answer in HUL’s real data, with full lineage and explainability — no hallucination, no compliance risk.

SCIKIQ × Hindustan Unilever LimitedUse cases
Across the business

Where it pays off, across the business

Category Management

Category 360: See, diagnose, and act on category performance in real time

Unify revenue, margin, and market share data across all channels; trace root causes of dips and trigger corrective action instantly.

Category 360
1234
Supply Chain

SKU 360: End-to-end supply chain visibility and resilience

Monitor every SKU’s inventory, supply events, and vendor status; proactively resolve bottlenecks before they hit sales.

SKU 360
1234
Sales & Channel

Channel 360: Omnichannel insights for modern trade, e-commerce, and distributors

Integrate sales, stock, and promo data for every channel; optimize allocation and campaign ROI.

Channel 360
1234
Procurement & Compliance

Vendor & Compliance 360: Monitor risk, quality, and regulatory status

Track vendor performance, compliance incidents, and sustainability targets; automate early warning and remediation.

Vendor 360
1234
Marketing

Promo 360: Link spend, uplift, and supply for every campaign

Connect promo investment to real sales and inventory outcomes; optimize spend and avoid ROI erosion.

Promo 360
1234
SCIKIQ × Hindustan Unilever LimitedThe ambition
Activate HUL’s data for growth, margin, and agility

From data silos to autonomous value creation

Agent FactoryAutonomous execution
AI CopilotSemantic, explainable Q&A
Knowledge GraphContextual, connected insights
Enterprise 360Unified, trusted data
SCIKIQ × Hindustan Unilever Limited90-day pilot
The path forward

Prove it in 90 days — then scale

Phase 1 · 30 daysRapid Data Unification & Skin Care 360
  • Connect SAP S/4HANA, SAP IBP, Salesforce, Ariba, and Nielsen for skin care
  • Build Category 360, SKU 360, and Vendor 360 for pilot SKUs
  • Baseline KPIs: revenue, margin, stock-outs, promo ROI
  • Configure first root-cause graph and copilot Q&A
Phase 2 · 60 daysKnowledge Graph & Copilot Rollout
  • Expand graph to all skin care SKUs, channels, and vendors
  • Enable AI Copilot for category and supply chain teams
  • Trace incidents and lost sales to root causes
  • Pilot compliance and promo optimization agents
Phase 3 · 90 daysAgent Factory & Autonomous Action
  • Roll out stock-out recovery, promo ROI, and compliance agents
  • Integrate write-back to SAP S/4HANA, Salesforce, Ariba
  • Measure impact: revenue protected, margin lifted, incident reduction
  • Scale to other categories (Home Care, Foods, etc.)
SCIKIQ × Hindustan Unilever LimitedThe ask
Next steps

Where to start

Pilot the SCIKIQ Data Product Factory on HUL’s skin care business — and scale across categories.
1Run a 30-day pilot: unify skin care data from SAP, Salesforce, Ariba, and Nielsen
2Deploy root-cause graph and copilot for category and supply chain teams
3Launch Stock-out Recovery Agent to protect revenue and margin in real time
sales@scikiq.com  ·  Let’s move the needle on growth, margin, and competitive edge for HUL — starting with skin care.
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