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Case Study — Blue Ribbon Taxi (NEMT)

From paper and portal hopping to a unified, trackable operation

CASE STUDY: BR

Client at a Glance

  • Industry: NEMT (non-emergency medical transportation) + taxi
  • Region: Chicago (health partners, public transit integrations)
  • Initial reality: Paper processes, split systems (B2B vs taxi), heavy manual work

The starting point (before)

  • Paper everywhere: onboarding, document checks, and training were in-person and manual.
  • Two operational worlds: B2B rides ran in one system; taxi rides in another—no shared data, no fleet-wide view.
  • Gaps from a core vendor: limited data sharing and no practical APIs to unify ops; real-time trip status didn’t carry back.
  • PACE (CTA) manifests = manual lift:
    1. Staff checked the PACE portal 2–3× daily for new rides
    2. Accepted rides in the portal
    3. Exported CSV
    4. Ran a homegrown converter to reshape the file
    5. Imported into MediRoutes for routing/dispatch
    6. Assigned rides; any unassigned were manually declined back in PACE
    7. Repeated the cycle for next-day rides
Before: PACE → CSV → converter → MediRoutes → manual declines → PACE Image slot — Before

What was delivered

Automation

Middleware + ride automation

  • Auto-import accepted PACE rides into middleware, then to MediRoutes for dispatch
  • Declines in MediRoutes return to PACE automatically
  • Middleware checks PACE 2–3× daily—no portal polling or CSV shuffle

Onboarding

Digital driver onboarding & admin

  • Mobile-friendly onboarding with document upload & training acknowledgements
  • Admin panel for drivers, docs, expiries, and status
  • Connections to City of Chicago sources for high-level license checks

Portal

Self-serve driver portal

  • Drivers review submissions, update details, and refresh documents
  • Admins assign learning materials and reminders; drivers complete online

Fleet

Fleet visibility across B2B & taxi

  • One operational picture instead of divided capacity by system
  • Near-real-time status to support dispatch decisions

Ecosystem

Website + vendor onboarding

  • Modern public website; loyalty-agnostic foundation
  • Assisted adoption of a vehicle leasing platform (cloud setup, test harness, hand-off)
  • Evaluated ~20 tools with demos/tests; recommended fits; embedded as external tech team

How operations run now

  • PACE manifests flow automatically into dispatch; declines return without extra steps
  • Onboarding is digital; documents and training in one place with reminders
  • Drivers self-serve; staff time shifts from paperwork to exceptions
  • Fleet is unified across B2B and taxi programs for coordinated capacity
  • Daily volume (~500 rides) handled with far fewer manual actions
KPI cards: manual steps removed, rides processed/day, onboarding time saved Image slot — Ops snapshots

Approach (measurable, low-risk)

  • Discover — users, flows, constraints
  • Design — prototypes, system patterns, content map
  • Build — small slices, verified against real workflows
  • Integrate — data flows, roles, auditability
  • Launch — readiness, monitoring, team playbooks
  • Evolve — metrics → roadmap; refine where it matters
Square result visual Image — Results

What changed for the business

  • Less friction: no CSV relay race; fewer portals to touch
  • More control: onboarding, docs, learning, and driver updates happen online
  • Better coordination: one view across programs drives smarter dispatch
  • Resilience: middleware reduces dependence on any single platform
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If your operations bounce between paper, portals, and spreadsheets,
we can help you simplify and measure. DM us or visit envision360.co.