ShippedLogisticsSupply Chain
// product

ShipSight

A supply-chain control tower that tracks every shipment across ocean, air and ground, predicts each ETA with a confidence score, and flags at-risk shipments before they slip.

Client:Global shipper (NDA)
Duration8 weeks
ScopeMVP product design and front-end build of the Control Tower board and single-shipment detail experience, backed by an ETA-prediction model, a multi-modal milestone ingest pipeline, and an exception-alerting engine.
Team1 product designer, 2 senior front-end engineers, and a fractional PM

// The Control Tower board — on-time, at-risk and avg-delay KPIs above a worst-first table of live shipments across every mode.

3,410Active shipments
87%On-time delivery
42At-risk shipments
1.2 daysAvg delay
01

Overview

ShipSight turns a scatter of carrier portals and status emails into one live control tower for a logistics operations team. It ingests milestones from carriers, ports and EDI into a single timeline per shipment, predicts each arrival with a confidence-scored ETA, and flags at-risk shipments — port congestion, customs holds, weather — before the ETA slips. BuildspaceLabs designed and built the MVP front end — a Control Tower board for network triage and a per-shipment detail view with an inline route map — turning an ETA-prediction model and a stream of multi-modal signals into a workflow a planner can act on in minutes.

02

Highlights

  • Predicts ETA slips before they happen, not after the carrier scan
  • Unifies ocean, air and ground shipments into one live control tower
  • Flags port congestion and customs holds with a stakeholder alert ready to send
  • Every predicted delay is explainable — weighted drivers, not a black-box date
03

Gallery

04

Outcomes

  • Delivered a production-quality MVP of the Control Tower board and shipment detail view in an 8-week engagement
  • Consolidated ocean, air and ground tracking, ETA prediction and exception alerts into a single visibility workflow
  • Gave logistics leadership a real-time view of on-time performance and delay exposure across 3,410 active shipments
  • Established a reusable design system (risk pills, mode icons, route maps, exception bars) for the product's next surfaces
05

Tech Stack

Chosen per constraint, not per habit — the stack shifts with the problem.

AI & ML
Python · ETA model
Frontend & Mobile
Next.jsReactTypeScriptTailwind CSS
Data & Infrastructure
PostgreSQL
Backend & APIs
Kafka + EDI ingest
06

Features

  • Control Tower board with on-time, at-risk, active-shipment and avg-delay KPIs over a status-coded shipments table
  • Predictive, confidence-scored ETA per shipment, recomputed as it moves along its route
  • Exception alerts for port congestion, customs holds, weather and rolled bookings, raised before the ETA slips
  • Inline milestone route map — origin, transshipment, destination and delivery with live vessel position
  • Multi-modal tracking across ocean, air and ground under a single reference — container, trailer and air waybill
  • Delay-driver attribution that decomposes every predicted slip into named, weighted causes
// live landing page

See ShipSight as its own site.

Beyond the build, we designed and shipped ShipSight a standalone landing page — its own look, copy and motion. Here's a live preview; scroll inside it, or open it full-screen.

// more from the lab

A team that ships across the board.

36products in production
8industries served
68+technologies in play

// next

Building something in this space?

A 30-minute call is enough for us to understand your situation and tell you whether we're the right team. Usable version in the first two weeks if we are.