{
  "version": "0.1.0",
  "generatedAt": "2026-05-16T00:00:00+05:30",
  "canonicalPath": "/case-studies/field-data-platform",
  "markdownPath": "/reports/case-study-packets/field-data-platform.md",
  "jsonPath": "/reports/case-study-packets/field-data-platform.json",
  "slug": "field-data-platform",
  "title": "AI-driven Data Collection Platform",
  "client": "Major Indian FMCG manufacturer",
  "summary": "A mobile-first survey and data collection platform for field teams, designed around offline workflows and AI-assisted validation.",
  "outcome": "Improved field-data quality and gave managers faster visibility into incoming survey signals.",
  "image": "/case-studies/event3.jpg",
  "challenge": "Field teams needed to collect high-quality survey data under mobile and offline constraints while managers needed faster visibility into incoming signals.",
  "stats": [
    "Mobile-first",
    "Offline workflow",
    "AI validation",
    "Realtime dashboard"
  ],
  "stack": [
    "Flutter",
    "Firebase",
    "Custom analytics",
    "Realtime data processing"
  ],
  "approach": [
    "Designed around mobile-first data capture and intermittent connectivity.",
    "Added validation logic to catch inconsistent or low-quality entries earlier in the workflow.",
    "Created a manager-facing dashboard for monitoring incoming field data.",
    "Separated operational reporting from raw collection so teams could act without waiting for manual consolidation."
  ],
  "evidence": [
    [
      "Workflow",
      "Offline field data"
    ],
    [
      "Validation",
      "AI-assisted checks"
    ],
    [
      "Visibility",
      "Realtime dashboard"
    ],
    [
      "Primary risk controlled",
      "Low-quality submissions"
    ]
  ],
  "timeline": [
    "Field workflow map",
    "Mobile capture",
    "Offline sync",
    "Validation rules",
    "Dashboard rollout"
  ],
  "risks": [
    "Offline sync conflicts",
    "Survey fatigue",
    "Noisy validation",
    "Manager adoption"
  ],
  "nextEvidenceStep": "Replace provisional metrics with client-approved screenshots, raw artifacts, and final numbers when available."
}