ANTERO PLATFORM.EXE
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Antero Platform

Enterprise Logistics Operations Platform

ANTERO.TXT
Category
Enterprise / Internal platform
Status
Production / Internal
Role
Software Developer

Overview

Antero is the internal operations platform used daily by a cargo network handling 17,000+ shipments per month. It consolidates shipment, pickup, manifest, delivery, POD, and finance workflows — previously spread across fragmented processes — into one Next.js platform with a Supabase/PostgreSQL data layer, custom RBAC + MFA auth, integrations into accounting and external services, a PWA surface with push notifications and in-browser scanning, and an Executive Analyst agent built on LangGraph that answers operational questions over real data.

Problem

Logistics operations spanning shipment, pickup, manifest, delivery, POD, and finance were spread across fragmented workflows that needed a shared system.

Solution

A centralized internal platform that consolidates operational workflows and gives the team visibility into shipment, manifest, delivery, and finance data, with integrations into external systems — plus an AI analyst that lets staff query operations in natural language.

Responsibilities

  • Builds and maintains operational modules across the shipment lifecycle
  • Designed the custom RBAC + MFA layer on cookie-session/JWT auth
  • Built the Executive Analyst — a LangGraph agent answering operational questions over real data
  • Integrated external systems — Accurate Online accounting, OBL, MaxMind GeoIP
  • Keeps quality gates green — Playwright E2E, Vitest, k6 load tests, Lighthouse CI

Key Features

  • Operational workflow digitization — shipment, pickup, manifest, delivery, POD
  • Finance visibility via Accurate Online / Accurate.id integration
  • Executive Analyst — LangGraph agent over live operational data
  • Custom RBAC with MFA and cookie-session auth
  • PWA — web-push notifications and in-browser barcode scanning
  • Realtime dashboards — Recharts + Mantine charts over operations

Technology

  • Next.js 16 + React 19 (App Router)
  • TypeScript
  • PostgreSQL via Supabase — RLS, migrations, direct pg pool
  • Mantine v9 + Tailwind CSS v4
  • TanStack Query v5
  • Cookie session + JWT — custom RBAC, MFA
  • LangChain + LangGraph — Executive Analyst agent
  • Claude Agent SDK / OpenAI / Ollama / OpenRouter — multi-provider LLM
  • MCP SDK + LangSmith observability
  • gRPC / ConnectRPC + Protobuf
  • Vercel + Docker + Railway — separate worker
  • Playwright + Vitest + k6 + Lighthouse CI

Technical Decisions

  • Visibility over novelty: Operations staff needed a trustworthy shared view of shipments and finance first; optimizations were added where they were safe.
  • AI as analyst, not operator: The Executive Analyst answers questions over operational data — mutations still go through explicit, auditable workflows.
  • Postgres-first access control: Supabase RLS plus a direct pg pool and explicit migrations keep data access enforced at the database, not just the API.
  • Sanitized public material: Screenshots are redacted — the platform handles live operational data that cannot be shown publicly.

Impact

  • Runs daily operations for a cargo network handling 17,000+ shipments per month
  • Brings AI assistance into real operational workflows via the Executive Analyst
  • Consolidates operational workflows into a shared system

Screenshots

  • Sanitized logistics operations dashboard showing shipment, pickup, delivery, and driver workflow summaries; organization identifiers and live values are redacted.
  • Sanitized split-screen login experience with company branding and identity details redacted.