Bosch India’s vision for innovation-led growth, decarbonisation, and digitalisation demands a unified, AI-ready data foundation. SCIKIQ enables Bosch to turn siloed manufacturing, supply chain, and customer data into actionable intelligence and autonomous execution.
With SCIKIQ, Bosch India can accelerate connected product innovation, strengthen export competitiveness, and drive operational excellence—while embedding trust, compliance, and sustainability at every layer.
Captured from 25 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.
Bosch India’s manufacturing, supply chain, and aftersales data are unified into a single, real-time business view—revealing production bottlenecks, quality issues, and customer impacts as they emerge.
Unify silosSCIKIQ’s contextual graph models root-cause relationships across plants, assets, suppliers, and customers—pinpointing systemic risks and cascading impacts.
ContextualizeAI Copilot answers complex queries—like ‘Why did Q4 warranty claims spike in Pune?’—with explainable, cross-domain insights grounded in Bosch’s real data.
ExplainAutonomous agents orchestrate fixes—triggering predictive maintenance, supplier escalations, or customer notifications—closing the loop from insight to action.
ActivateBuilt 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.
Real-time integration of Bosch India's ERP, MES, CRM, and supplier data for a unified operational view.
Model complex relationships—assets, vendors, processes, and events—across the manufacturing and supply chain ecosystem.
Conversational interface to Bosch’s business and operational data, grounded in enterprise context.
Autonomous, policy-driven agents to close the loop—triggering workflows, alerts, and system updates.
Bosch’s data stays in place; SCIKIQ integrates business concepts across SAP, MES, QMS, SRM, CRM, and IoT, not just systems. This enables a living, AI-ready data fabric for every line of business.
200+ pre-built connectors rapidly ingest data from SAP, MES, QMS, SRM, CRM, and IoT sensors across all Bosch India plants.
Business concepts—assets, orders, suppliers, customers—are mapped and enriched with metadata and context for each line of business.
Entity resolution unifies records (e.g., supplier, asset, customer) across systems; relationships are modeled for 360° visibility.
Lineage, access controls, and compliance rules are enforced at every step—ensuring trusted, auditable data.
Unified view of every OEM and aftermarket customer: orders, claims, feedback, and delivery performance.
Real-time status, maintenance, and performance history for every machine and line across Bosch India plants.
Tiered supplier profiles, quality records, escalations, and on-time delivery metrics.
End-to-end traceability of export and domestic orders: status, delays, and fulfillment risks.
Holistic view of quality events, warranty claims, and root-cause linkages across plants.
SCIKIQ delivers unified, AI-ready data products in <6 months—at 90% lower IT integration cost and 60% lower TCO—vs. multi-year, high-risk custom builds.
Goes beyond dashboards: SCIKIQ contextualizes and connects data across Bosch’s value chain, enabling root-cause reasoning and autonomous action—not just reporting.
Purpose-built for manufacturing and supply chain: pre-built connectors, business 360s, and knowledge graph tuned for Bosch’s real operations, not just raw data storage.
Answers are grounded in Bosch’s governed, real-time data—ensuring accuracy, explainability, and compliance, not hallucinations or data leaks.
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 incidents, assets, or customers—grounded in Bosch’s real operational 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.
Track the financial impact of asset failures, warranty claims, and order delays in real time—enabling 5x faster root-cause analysis and targeted cost reduction.
Unify asset and maintenance data to enable predictive maintenance, minimize downtime, and optimize OEE across all Bosch India plants.
Map supplier dependencies and automate escalation workflows—reducing export order delays and improving on-time delivery by up to 8%.
Automatically notify OEMs and aftermarket customers of delays or quality issues, improving satisfaction and reducing churn.
Graph-based tracing links warranty claims to upstream events, reducing compliance violations by 95% and ensuring audit readiness.
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 and unify Bosch’s SAP, MES, QMS, SRM, and CRM data for a single business 360 view.
Model business relationships and enable conversational analytics.
Automate incident response and business workflows.
Bosch India gains a living, AI-ready data fabric—enabling 5x faster root-cause analysis, 90% faster ML deployment, and autonomous operational response.