Rico Auto Industries faces margin pressure and declining revenue in a highly competitive automotive components market. SCIKIQ enables Rico to unify sales, customer, and operations data into actionable intelligence—driving faster, smarter sales decisions and direct revenue impact.
With a 6% YoY revenue decline and 24% drop in PAT, Rico Auto needs to activate its siloed data to reverse sales trends, improve customer targeting, and optimize commercial execution. SCIKIQ delivers a 360° sales dashboard, root-cause analytics, and autonomous revenue interventions—at 85% faster integration and 90% lower IT cost.
Captured from 26 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.
Unify sales, customer, and production data across SAP, CRM, and plant systems into a single, real-time sales dashboard. Instantly spot declining regions, lost orders, and customer churn.
Sales VisibilityModel relationships between sales reps, customers, SKUs, and production delays. Trace how late delivery of hybrid parts to Maruti led to a 12% revenue dip in North India.
Root CauseAsk, 'Why did Q1 sales drop in Tamil Nadu?' and get a plain-language answer with supporting data, highlighting delayed shipments from Hosur and lost Toyota orders.
Explainable AIAutonomously trigger targeted win-back campaigns and production schedule adjustments to recover lost sales, with closed-loop reporting to sales leadership.
Autonomous ActionBuilt 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, unified dashboards combine sales, order, customer, and production data across SAP, CRM, and plant systems.
Graph-based relationship modeling connects sales, production, and customer events for root cause analysis.
Natural language interface answers leadership questions, grounded in real data and context.
Autonomous agents execute sales recovery actions—campaigns, alerts, and workflow changes—based on detected issues.
Data remains in existing systems—SCIKIQ integrates business concepts across SAP, CRM, MES, and vendor platforms, creating a unified, AI-ready layer for sales and revenue intelligence.
200+ prebuilt connectors rapidly ingest sales, production, and customer data from SAP, CRM, MES, and vendor systems.
Metadata and context engine aligns SKUs, customers, sales reps, and regions for a harmonized business view.
Entity resolution and knowledge graph modeling connect orders, delays, and customer events for root-cause and impact analysis.
Data lineage, access control, and quality checks ensure trusted, compliant insights for sales and finance.
Unified view of OEM and aftermarket customers, orders, churn risk, and engagement.
Full sales pipeline, order status, lost orders, and win-back opportunities.
SKU-level production status, delays, and their sales impact.
Supplier performance, delivery delays, and downstream sales effects.
Audit trails, policy adherence, and data quality metrics.
SCIKIQ delivers a unified, AI-ready data fabric in under 6 months—at 85% faster integration and 90% lower IT cost than custom builds, with 200+ connectors for SAP, CRM, MES, and more.
Beyond dashboards: SCIKIQ models relationships, root causes, and enables autonomous sales recovery—not just reporting, but closed-loop action.
SCIKIQ contextualizes data for automotive sales and production, with out-of-the-box knowledge graphs, industry-specific agents, and explainable AI tailored to Rico's business.
SCIKIQ grounds every answer in governed enterprise data and graph context—no hallucinations, full traceability, and board-level trust.
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 any sales or revenue question—SCIKIQ Copilot gives grounded, explainable answers using unified data and knowledge graph 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.
Spot lost orders, delayed cash flows, and margin erosion in real time; quantify and recover revenue with autonomous agents.
Unified dashboard shows sales by region, customer, and SKU; triggers targeted win-back campaigns for lost OEM business.
Connect MES and sales data to trace how production delays impact revenue; reprioritize schedules to protect key orders.
Identify at-risk customers from delayed orders; alert sales for proactive retention actions.
Trace how vendor delays cascade to lost sales; inform contract renegotiation and supplier scorecards.
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 SAP, CRM, and MES for unified sales and order visibility.
Model relationships and enable natural language Q&A for sales analytics.
Automate win-back campaigns and production interventions.
Within 90 days, Rico Auto gains a unified, actionable sales control tower—enabling rapid revenue recovery and smarter commercial decisions.