logistics analytics

Logistics analytics for shipper and carrier portals

Freight and logistics platforms reduce ticket volume when customers can ask about on-time performance, lane cost, and exception reasons themselves. QueryPanel embeds those boards with AI—scoped per account.

Product preview

Desktop and mobile inside your app

Mocked browser and phone frames show how QueryPanel looks embedded—AI answers and charts scoped to each customer tenant.

portal.haulwise.com/analytics
AnalyticsQueryPanel embedded

OTIF

94.1%

-1.2%

Cost/mi

$2.18

+3%

Exceptions

86

+14

OTIF by lane

AI assistant

Which lanes missed OTIF last week and why?

LAX→DFW and CHI→ATL missed OTIF by 9–12 pts. Weather holds and appointment no-shows explained 67% of exceptions.

Lane health

Freight KPIs in your pocket

OTIF

94.1%

Cost/mi

$2.18

OTIF by lane

Ask

Which lanes missed OTIF last week and why?

LAX→DFW and CHI→ATL missed OTIF by 9–12 pts. Weather holds and appointment no-shows explained 67% of exceptions.

Best fit

TMS, freight marketplaces, and 3PL customer portals.

Typical questions

OTIF by lane, cost per mile, and delay reason mix.

Constraint

Multi-party visibility without leaking competitor freight data.

Short answer

Customer portals that answer freight questions

Logistics analytics for SaaS means embedding OTIF, cost, and exception reporting into shipper and carrier portals. QueryPanel provides a headful React embed with AI so each account explores only its shipments.

Operations

Cut “where is my report?” tickets

When customers can ask natural-language questions about delays and lane performance, ops teams spend less time exporting spreadsheets.

FAQ

What is logistics analytics in a customer portal?

It is embedded freight and shipment performance reporting—OTIF, cost, exceptions—shown to shippers or carriers with account-level isolation.

Can carriers and shippers share one platform safely?

Yes, if each party is a distinct tenant (or role-scoped tenant) in your JWT claims so QueryPanel never mixes freight books.

Does QueryPanel support high-volume event tables?

Yes. Teams commonly connect ClickHouse or BigQuery for high-cardinality shipment events alongside Postgres for operational data.