ShippedLogisticsFreight BrokerageAI Product
// build study

HaulBoard

An AI freight load board that matches every open load to the best-fit carrier, prices each lane on live spot-rate data, and tracks broker margin on every move.

Client:Digital freight brokerage (NDA)
Duration8 weeks
ScopeMVP product design and front-end build of the Load Board and single-load detail experience, backed by a spot-rate pricing model and a carrier-matching engine.

// The Load Board — 128 open loads, a Chicago→Dallas spot-rate trend with a market band, and each row carrying its AI rate, best-match carrier, and coverage status.

// the numbers

Figures from the engagement, shared under NDA.

We publish them unchanged and can’t break them down any further here. The reference build you can open runs entirely on sample data.

128Open loads
74%Covered today
14.8%Avg broker margin
+3%AI rate vs market
01In brief

If you read one part of this page, read these 4 lines.

  • Prices every lane on live spot-rate data instead of a stale rate sheet
  • Ranks carriers by fit — lane history, equipment, deadhead, and reliability — not phone tag
  • Shows carrier pay, shipper rate, and broker margin on every move
  • Explains the number: each rate breaks down into linehaul, fuel, accessorials, and margin
02Overview

What it does — and which part of it we built.

HaulBoard gives a freight brokerage desk a single board to price, match, and cover freight.

It scores every open load against the carrier network, prices the lane on live spot-rate data with a target margin and a floor, and ranks carriers by lane history, equipment fit, deadhead, and reliability — then surfaces the broker margin on each move. BuildspaceLabs designed and built the MVP front end: a live Load Board for whole-desk triage and a per-load detail view with a route line, a full rate breakdown, and ranked AI carrier matches — turning a spot-pricing model and a stream of load and carrier signals into a workflow a dispatcher can act on in minutes.

03The screens

Every screen here is from the reference build, not the client’s system.

The captions say what you are looking at. Every name and record on them is sample data.

04Outcomes

What the engagement left the client with.

  • Delivered a production-quality MVP of the Load Board and load detail view in an 8-week engagement
  • Consolidated lane pricing, carrier matching, and margin tracking into a single dispatcher workflow
  • Gave brokerage leadership a real-time view of coverage and margin across 128 open loads
  • Established a reusable design system (equipment pills, status pills, match scores, rate builds) for the product's next surfaces
05How it is built

The stack was picked per constraint, not per house habit.

7 technologies across 4 layers — the shape of the stack follows the problem.

AI & ML
Python · spot-rate model
Frontend & Mobile
Next.jsReactTypeScriptTailwind CSS
Data & Infrastructure
PostgreSQL
Backend & APIs
FastAPI
Every feature in the build (6)
  • Live Load Board with open and in-progress loads, AI rate, and best-match carrier on every row
  • AI spot-rate pricing per lane on live market data, with a target margin and a rate floor
  • Best-match carrier ranking scored on lane history, equipment fit, deadhead, and reliability
  • Per-lane $/mile spot-rate trend chart with a live market band
  • Load detail with a route line, mile markers, and a full rate breakdown down to broker margin
  • Carrier reliability scoring — on-time %, letter grades, and volume across the network
// see for yourself

Don’t take our word for it — it is running in the frame below.

This is the same page the provenance block links to: our reference build for HaulBoard, with its own look, copy and motion. 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

Closest to HaulBoard

// 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.