Unify, contextualize, and activate data across FMCG, textiles, real estate, and aviation to drive margin, cash, and competitive edge.
SCIKIQ enables Wadia Group to break data silos, detect margin leakage, and automate corrective action—accelerating profitable growth and operational resilience in a complex, multi-business environment.
Captured from 22 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 across Britannia’s sales, Bombay Dyeing’s inventory, and GoAir’s route profitability—spotting emerging risks and opportunities as they unfold.
Control & VisibilityTrace margin erosion in Britannia to supply chain delays, or link GoAir’s route underperformance to fuel cost spikes—understand root causes, not just symptoms.
Root CauseAsk, 'Why did Q1 EBITDA drop in Bombay Dyeing?' and get a clear, context-rich answer grounded in real data, not dashboard guesswork.
ExplainabilityAutonomously trigger corrective actions—like repricing low-margin SKUs or renegotiating vendor contracts—protecting ₹18 Cr+ in annual margin.
Action & AutomationMonetize data products, accelerate new business launches, and respond 5x faster than rivals like Aditya Birla Group or Blackstone.
Speed & DifferentiationBuilt 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 from Britannia, Bombay Dyeing, GoAir, and Realty for a unified business view.
Models relationships—customers, assets, events—across group companies for deep causal analysis.
Conversational AI answers, grounded in Wadia’s own data, for every business leader.
Autonomous agents execute corrective actions—closing the loop from insight to impact.
Data remains in source systems—SCIKIQ unifies business concepts across Britannia, Bombay Dyeing, GoAir, and Realty for a single, actionable view.
200+ pre-built connectors ingest data from SAP, RMS, SFA, and more—no code required.
Auto-classify and tag data by business entity—routes, SKUs, contracts, projects—across LOBs.
Match, deduplicate, and model relationships—linking costs, sales, and compliance events.
Apply lineage, access controls, and quality checks—ensuring trusted, compliant data.
Unified view of customers—across FMCG, aviation, and real estate—enabling cross-sell and risk detection.
Profitability, cost, and compliance for every GoAir route—real-time.
Inventory, stockouts, and cash drag across Bombay Dyeing and Britannia.
Realty project status, cash flow, and contractor performance in one place.
Contract terms, delivery, and risk for all key suppliers.
Regulatory events, audit trails, and risk exposure across group companies.
SCIKIQ delivers 85% faster integration and 60% lower TCO—no need to assemble, staff, and govern a multi-year internal build across SAP, RMS, SFA, and more.
Goes beyond reporting—contextualizes, reasons, and acts. Not just dashboards, but closed-loop agents that fix margin/cash leaks autonomously.
Purpose-built for multi-LOB conglomerates: models business-specific entities (routes, SKUs, cash, compliance) and connects 200+ real systems out-of-the-box.
Grounds every answer in real Wadia Group data—no hallucinations, full lineage, and explainable, auditable actions.
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 grounded, actionable answers. 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 fuel, fare, and competitor data to detect margin erosion, trace root causes, and trigger fare updates—protecting GoAir’s bottom line.
Detect DSO spikes in Britannia’s Modern Trade, explain drivers, and auto-trigger dunning—releasing trapped cash.
Monitor and reduce inventory build-up in Bombay Dyeing, tracing causes and triggering clearance actions.
Unify project, cash flow, and vendor data for Bombay Realty—spotting delays, tracing causes, and automating escalation.
Detect and explain compliance events across aviation and FMCG, auto-remediating before they escalate.
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 core source systems, unify key business entities, and deploy the value control tower.
Model causal relationships, enable plain-language Q&A, and trace root causes.
Deploy autonomous agents to fix margin/cash leaks and automate compliance.
Wadia Group achieves unified, actionable data—driving margin, cash, and compliance gains across all major businesses.