Case studies

Realistic enterprise use cases that show how SriVix builds operational intelligence.

Each demo project is structured around the business problem, solution approach, technical architecture, outcome, and measurable business impact.

68% faster cycle time

Finance Operations

AI Invoice Processing

SriVix deployed an AI document workflow that extracts invoice fields, validates against ERP data, flags exceptions, and routes approvals.

Problem: A growing operations team was manually extracting invoice data, reconciling purchase orders, and chasing approvals across email.

Outcome: Invoices moved from manual queues into an exception-led process with live finance visibility.

Business impact: Reduced processing time by 68% while improving control over duplicate and mismatched invoices.

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Architecture

Document ingestionOCR and LLM extractionERP validationApproval workflowAudit dashboard

11% capacity recovered

Industrial Manufacturing

Manufacturing KPI Dashboard

SriVix built a manufacturing intelligence layer with daily production scorecards, OEE tracking, and exception alerts.

Problem: Plant leaders lacked a unified view of production output, downtime, quality losses, and inventory movement.

Outcome: Leaders could identify bottlenecks by line, shift, product, and root-cause category.

Business impact: Improved daily operating reviews and exposed recurring downtime patterns worth 11% capacity recovery.

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Architecture

MES connectorInventory data modelQuality metricsOEE dashboardSupervisor views

Same-day reporting

Mid-Market Enterprise

Executive Business Intelligence Platform

SriVix unified finance, sales, operations, and customer data into a governed executive BI platform.

Problem: Executive reporting depended on spreadsheets that produced conflicting answers across departments.

Outcome: Leadership gained a single trusted operating view across revenue, cost, margin, pipeline, and service quality.

Business impact: Monthly reporting moved from 5 days of preparation to same-day decision review.

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Architecture

Cloud warehouseMetric governanceSemantic data modelExecutive command centerAI insight layer

14% excess exposed

Supply Chain

Inventory Intelligence System

SriVix created inventory intelligence with regional performance, replenishment recommendations, and aging analysis.

Problem: Stockouts, slow-moving inventory, and regional imbalance were hidden inside disconnected warehouse reports.

Outcome: Operations teams could see where capital was trapped and which regions required replenishment action.

Business impact: Reduced stockout risk and surfaced 14% excess inventory for rebalancing.

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Architecture

ERP inventory feedWarehouse joinsDemand signalsAI recommendationsException cockpit

22% lift in conversion

Revenue Operations

AI Sales Analytics Platform

SriVix built an AI sales analytics platform that explains pipeline shifts, account risk, and next-best actions.

Problem: Sales leaders had activity data but lacked reliable insight into deal quality, forecast movement, and customer segments.

Outcome: Teams could interrogate pipeline performance in natural language and convert insights into account actions.

Business impact: Improved forecast discipline and increased qualified pipeline conversion by 22%.

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Architecture

CRM integrationPipeline modelForecast analyticsSegment scoringAI sales analyst