BlackPrint Technologies · Aug 2026
BP Regularizador
Field Verification & Route Optimization Platform
Overview
Built a field-operations platform for municipal business-regularization programs that plans optimized routes for inspection crews, captures tamper-evident evidence offline and runs compliant WhatsApp outreach.
Highlights
- 01
Designed a zero-infrastructure TypeScript routing engine (capacity-balanced k-means, nearest-neighbor with 2-opt/Or-opt, time-aware LNS) whose per-crew sequencer matched exact Held-Karp optima (0.00% gap, n ≤ 12) and solved 200 stops in under 80 ms, benchmarked in CI on 56 Solomon VRPTW instances.
- 02
Built an offline-first PWA for field crews with an IndexedDB queue and idempotent sync, backed by an HMAC hash-chained evidence trail, photo and signature stamps, geofences and audited exports across 36 PostgreSQL migrations.
- 03
Added a regularization funnel with a Claude-powered WhatsApp bot, Meta webhook signature checks and opt-out compliance guards, verified by smoke suites including a 20/20 outreach run and a 21-check forms gate.
Stack
- Next.js 16
- React 19
- TypeScript
- PostgreSQL
- MapLibre GL JS
- Vehicle Routing (VRPTW)
- Large Neighborhood Search
- PWA / IndexedDB
- Zod
- Zustand
- WhatsApp Cloud API
- Anthropic Claude
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