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Case Study #1 — API & Microservices Test Automation

Industry: Insurance / Claims
Tech: Postman + Karate + JMeter + Service Virtualization

🔹 Problem

✔ Repeated API breakages when downstream services offline
✔ Hard to test edge cases (claim rejection logic)

🤖 Solution

  • Mocking & service virtualization for unavailable services

  • Automated API integrity + contract testing

  • Performance testing integrated into pipeline

📈 Outcomes

KPI

Result

API defects in production

–40%

Time to detect breaking changes

Minutes

Coverage of microservices

+70%

Testing microservices → stability at scale

🧩 Case Study #2 — AI-Driven Bug Prediction & Hotspot Testing

Industry: Retail E-commerce Platform
Tech: ML-based model → defect risk scoring + Jira integration

🔹 Problem

✔ Too many test cases → wasted QA effort on low-risk areas
✔ QA could not keep up with rapid feature deployment

🤖 AI Testing Solution

  • ML classifier trained on historical defects

  • Risk-based test case prioritization

  • Auto-suggest functional & security test focus

📈 Business Value

KPI

Before

After

Test execution effort

High

–45%

Defect detection rate

78%

96%

Hotspot detection

Manual

Predictive

Test only where risk is highest → major efficiency gains

🧩 Case Study #3 — Continuous Testing for Salesforce + ERP Integration

Industry: Manufacturing
Tech: Salesforce + MuleSoft + SAP + Provar / Copado Testing

🔹 Problem

✔ Data flow breakages during complex nightly ETL
✔ Manual post-deployment validation → delays impacting sales ops

🤖 Automated Solution

  • Automated end-to-end integration testing

  • Synthetic opportunity → order → invoice data generation

  • Salesforce UI + API combo coverage

📈 Results

KPI

Result

Order sync failures

–70%

Deployment verification

3 hrs → 20 min

Revenue-blocking bugs

–50%

Protected business continuity for core revenue flows

🧩 Case Study #4 — Computer Vision Testing for Health & Safety App

Industry: Healthcare Workforce
Tech: AI image validation, negative scenario synthesis

🔹 Problem

✔ Manual testers couldn’t validate camera-based PPE compliance detection
✔ Image variations (lighting, angles) not covered

🤖 Testing Innovation

  • Generated synthetic images via AI augmentation

  • Automated CV accuracy tests under varied conditions

  • Confidence threshold scoring & fallback workflow tests

📈 Outcomes

KPI

Impact

CV Model accuracy

+18% improvement

Production false alerts

–28%

Release confidence

100% rollout success

AI to test AI → essential for safety-critical apps

🧩 Case Study #5 — Accessibility Automation with AI Assist

Industry: Government / Public Sector
Tech: Axe + AI Accessibility Scans (WCAG 2.1 AA)

🔹 Problem

✔ Legal compliance risk — manual accessibility audits too slow
✔ Visual impairment-focused issues often missed

🤖 Solution

  • Automated accessibility scanning + manual validation suggestions

  • Screen reader flow automation

  • Monthly “Compliance Score”

📈 Impact

KPI

Result

WCAG compliance

62% → 95%

Accessibility defects in prod

–50%

Audit approval time

–35%

Improved inclusivity + reduced legal exposure

#Case Study – 6 — Autonomous Test Maintenance for Telecom Self-Care Portal

Industry: Telecom
Tech: Testim + Playwright + AI self-healing + Jira + K8s CI runs

Problem

  • UI locator changes every sprint → flaky scripts

  • Large regression suite needed 3 weeks of manual rework

AI Testing Solution

  • Self-healing locator engine for stable automation

  • Autonomous failure classification & root cause grouping

Results

KPI

Before

After

Script maintenance overhead

3 weeks

< 1 day

Flaky test failures

40%

3%

Customer support tickets

–22%

 

AI removed instability from automation at scale.

#Case Study – 7 — Real-Time Functional Testing in CI/CD for Travel Bookings

Industry: Travel & Hospitality
Tech: Cypress + TestRail + GitHub Actions + Synthetic Data

Problem

  • Release pipeline blocked waiting for manual sign-off

  • Flight + hotel dynamic pricing → unpredictable failures

Solution

  • Parallel functional + real-time pricing sandbox tests

  • Synthetic inventory data generation

Results

KPI

Value

Deployment approvals

90 min → 5 min

Failed bookings in prod

–33%

Feature rollout frequency

2× increase

Continuous testing enabled continuous business value.

#Case Study – 8 — AI Performance Testing in High-Traffic OTT Platform

Industry: Media/Streaming
Tech: Locust + ML-based load prediction + Azure Kubernetes

Problem

  • Peak traffic during sports events → downtime risk

  • Performance issues detected only post-deployment

Solution

  • ML-driven load modeling based on viewership patterns

  • Auto-scale testing before high-visibility launches

Outcome

KPI

Result

Latency under 99th percentile

Improved by 42%

Traffic failover resilience

100% success

Support incidents

–28%

Predictive load testing = Zero downtime during live events

#Case Study – 9 — AI Chatbot Testing and NLP Intent Drift Monitoring

Industry: Healthcare Scheduling
Tech: Dialogflow + RASA + Intent Classification AI Tests

Problem

  • New phrases not recognized → patient frustration

  • Manual conversation QA too slow

Solution

  • Intent performance scoring per release

  • Drift detection model trained on patient conversations

Results

KPI

Improvement

NLP accuracy

+18%

Human callback interventions

–30%

Appointment completion rate

+24%

Ensures chatbot continues to speak the patient’s language.

#Case Study – 10 — Robotic Process Automation (RPA) Testing for Supply Chain

Industry: Manufacturing & Logistics
Tech: UiPath Test Suite + OCR validation

Problem

  • RPA bots frequently broke due to UI updates

  • Shipment delays when bots paused unexpectedly

Solution

  • Automated pre-deployment bot validation + fallback testing

  • OCR accuracy threshold reporting

Business Impact

KPI

Result

Bot downtime

–65%

Shipment processing time

–40%

Ops escalations

–50%

RPA stability = operations stability.

#Case Study – 11 — Salesforce AI Test Automation for CPQ Quotes

Industry: B2B SaaS
Tech: Provar + Einstein Bots + MuleSoft integration testing

Problem

  • Quote logic errors led to wrong pricing → revenue leakage

  • Manual CPQ validations too complex

Solution

  • Automated price rule coverage + integration flow checks

  • Einstein conversation testing included

Results

KPI

Outcome

Revenue-impacting defects

–55%

Quote turnaround

+30%

Sales adoption

+18%

Testing = trust in price accuracy → improved win rates.

#Case Study – 12 — Data Validation Automation for Pharma Analytics

Industry: Life Sciences
Tech: Informatica + PyTest + AI anomaly detection

Problem

  • Manual validation slowed regulatory data loads

  • Undetected drift in dosage/patient data

Solution

  • Automated schema checks + outlier scoring

  • End-to-end clinical trial data quality enforcement

Results

KPI

Result

Data validation time

36 hrs → 2 hrs

Compliance audit issues

–70%

Patient safety risk

Reduced

Data testing = regulatory survival in Pharma.

#Case Study – 13 — Accessibility Testing Automation for Global E-commerce

Industry: Retail
Tech: AI Vision + WCAG ruleset + Contrast detection

Problem

  • Legal risk due to ADA complaints

  • International accessibility standards fragmented

Solution

  • Automated accessibility scans + localization testing

  • AI-based color/contrast correction suggestions

Outcomes

KPI

Result

Legal risk

Major ↓

Accessibility score

55% → 96%

Global coverage

+12 languages tested

Accessibility compliance protects revenue and brand.

Case Study – 14 : WAMA-style / Custom App Implementation on Salesforce

(Since public references for “WAMA” are limited, treat this as a hypothetical / anonymized reference you can adapt based on your actual WAMA-derived solution.)

Industry: Field Services / Asset Management / Workforce Management
Scenario: Implementing a custom “Workforce & Asset Management Application (WAMA)” on Salesforce

🔹 Business Challenge

  • Disconnected systems for workforce scheduling, asset tracking, maintenance logs — manual Excel sheets, legacy tools — causing inefficiencies and errors.
  • Poor visibility for managers into assignments, asset status, maintenance history, and compliance audits.
  • Hard to scale across regions; data silos prevented consolidated reporting and analytics.

🔹 Solution Delivered (on Salesforce)

  • Built WAMA as a managed package / custom app on Salesforce: custom objects for Assets, Work Orders, Technicians, Schedules, Maintenance History.
  • Used Salesforce mobile + offline capabilities for field technicians to update work orders, asset status, and maintenance logs from site.
  • Added role-based permissions, sharing rules, and audit logs to meet compliance and data governance requirements.
  • Integrated with external ERP/Inventory systems via REST API to sync asset master data and spare parts inventory.
  • Created dashboards and reports for management — utilization metrics, asset downtime, maintenance backlog, compliance history, region-wise workload.

✅ Hypothetical / Expected Outcomes

  • Asset/Work-order visibility → 40–50% reduction in overdue maintenance tasks
  • Improved workforce utilization → 25–30% better assignment efficiency
  • Reduced asset downtime → measurable savings in replacement/repair costs
  • Better compliance & audit-readiness (maintenance logs, history, role-based access)