Bosch India’s multi-sector growth demands unified, AI-ready data to drive revenue and cost efficiency. SCIKIQ’s Data Product Factory transforms siloed manufacturing, supply chain, and commercial data into actionable intelligence—enabling rapid response, smarter decisions, and measurable profit.
With 18 manufacturing sites and 7 R&D centers, Bosch India’s complexity is its opportunity. SCIKIQ contextualizes data across Mobility, Industrial Tech, Consumer Goods, and Energy, unlocking cost savings, revenue growth, and operational resilience.
Captured from 27 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 siloed SAP, MES, CRM, and IoT data are unified into a single, real-time business 360—enabling visibility across 18 plants, vendor networks, and customer touchpoints. Leaders see production, quality, and revenue in one pane.
VisibilityA connected knowledge graph models relationships between assets, vendors, failures, and customer impact—pinpointing root causes and quantifying revenue at risk from cascading incidents.
Root CauseBosch leaders and engineers can 'talk to their data'—asking natural language questions about incidents, costs, or supply chain risks, and getting grounded, context-rich answers.
ExplainabilityAutonomous agents trigger workflows: reroute supply, auto-notify vendors, or launch preventive maintenance—closing the loop from insight to action and delivering real cost and revenue impact.
AutonomyBuilt 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.
Unify data from SAP, MES, CRM, IoT, and supplier systems into a single business view—across all plants, R&D, and commercial channels.
Model complex relationships between assets, vendors, incidents, and revenue—enabling root cause tracing and impact quantification.
Semantic search and GenAI-powered Q&A for business and technical users—grounded in Bosch’s real data, not just generic models.
Autonomous agents execute business actions: notify, reroute, escalate, or trigger preventive maintenance—directly from insight.
Data remains in your source systems—SCIKIQ integrates business concepts across SAP, MES, CRM, IoT, and more, not just the systems themselves. This enables a true 360° view for every business unit.
200+ prebuilt connectors ingest and synchronize data from SAP, MES, CRM, IoT, SRM, and more, across 18 plants and 7 R&D centers.
Map data to Bosch India’s business concepts—assets, orders, vendors, customers, incidents—enriching with metadata and business rules.
Deduplicate, link, and model entities into a unified graph—tracing relationships from asset to revenue, vendor to customer.
Apply data lineage, access controls, and quality checks—ensuring trusted, compliant, and explainable data products.
Unified view of each customer—orders, complaints, delivery status, revenue impact—across all business lines.
Full lifecycle and status of every asset—utilization, downtime, maintenance, failure patterns.
Performance, on-time rates, escalations, and risk for every supplier.
Order status, delays, revenue at risk, and customer impact.
Traceability from design to delivery, including quality and compliance.
SCIKIQ delivers 85% faster data integration and 90% lower IT cost than custom builds—no-code, AI-first, and proven at global scale. Bosch India’s complexity demands rapid value, not multi-year projects.
Dashboards show what happened; SCIKIQ connects the dots—root cause, revenue impact, and autonomous action. It’s not just reporting, it’s business activation.
SCIKIQ contextualizes Bosch’s data into business-ready 360s and knowledge graphs—enabling AI, compliance, and monetization out-of-the-box, not just raw storage.
GenAI alone is not enough—SCIKIQ grounds Copilot answers in Bosch’s real data, with explainable lineage and compliance, not hallucination.
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 SCIKIQ Copilot for instant, context-rich answers grounded in Bosch India’s real data. 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.
Real-time visibility into revenue leakage from plant downtimes, order delays, and supply disruptions—enabling rapid mitigation and cost save.
Trace failures across assets, vendors, and processes—triggering preventive maintenance and minimizing costly unplanned downtime.
Monitor supplier performance, automate escalations, and reroute orders—reducing risk and improving on-time delivery.
Instantly identify at-risk orders and customers, automate notifications, and reduce complaint resolution time.
Link field failures to design and quality data—enabling faster root cause analysis and product improvement.
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 SAP, MES, and CRM systems; build first cross-plant asset/order graph; pilot incident tracing.
Enable Copilot Q&A for plant leaders and finance; quantify revenue at risk and cost save opportunities.
Launch autonomous agents for order reroute, vendor escalation, and preventive maintenance; expand to all plants.
Bosch India gains a unified, AI-activated data fabric—delivering measurable revenue protection, cost savings, and operational resilience in under 6 months.