Monitoring & Forecasting
AI Anomaly Detection
Detects anomalies in transactions, traffic or operations data.
Insight
AI Data Analyst Agent for Logistics
Ask which carriers, lanes or customers had the most exceptions and get the answer from your TMS data, source attached.
Exceptions, late deliveries and carrier problems show up in your TMS, but spotting the pattern takes a day of spreadsheets. This analyst answers plain-language questions about shipments, lanes and carriers from your TMS or tracking data, documents and spreadsheets. It also alerts you when exception counts cross a threshold you set. Every answer shows its source.
- Ask which carriers or lanes cause the most exceptions
- Alerts when exception counts cross thresholds you set
- Read-only access, with the source shown on every answer
$5,900
20–30 working days
Optional maintenance $295/mo
What it is
AI Data Analyst Agent for Logistics answers plain-language questions about shipments, exceptions and carrier performance from your TMS or tracking API, document storage and spreadsheets, and alerts you when exception counts cross a threshold you set. Every answer shows the query or source behind it.
Why businesses buy it
In logistics, small delays add up to lost customers and penalty costs. Operations teams see individual exceptions, but the pattern behind them, a weak carrier or a problem lane, stays hidden until someone builds a report. This analyst answers those questions on demand and raises alerts when things drift, so you act before a customer complains. The written scope sets the sources, exception definitions, alerts and testing against your shipment history before you order.
Problems this solves
Exception counts climb before anyone in the office notices
The agent watches exception counts from your TMS or tracking API and alerts you when they cross a threshold you set. Up to five alerts can be configured.
Comparing carrier performance takes hours of spreadsheet work
Ask how carriers compare on delivery performance and the agent returns a chart and summary. It draws on tracking data, documents and spreadsheets, with the source shown.
Operations and finance quote different on-time delivery figures
Logistics metric definitions, such as on-time delivery, are agreed during setup. Every answer uses the same definition, and its query or source is shown for checking.
A good fit if
Your team spends the morning answering where-is-my-shipment queries and has no time left to see which lanes cause them.
Carrier performance is argued from memory because pulling on-time figures from the TMS takes an afternoon.
Exceptions get handled one by one, but nobody sees the pattern by customer, route or carrier until a shipper complains.
Account managers need shipment figures for a customer review and currently ask operations to build them by hand.
Not the right fit if
Shippers and consignees need where-is-my-shipment answers themselves. See AI Customer Support Agent for Logistics.
Data must be pulled out of shipping documents into your systems. See AI Document Extraction for Logistics.
A scheduled report built from several sources is all you need, without open questions. See AI Report Automation for Logistics.
Routine shipment tracking and scheduling requests need handling, not analyzing. See AI Operations Assistant for Logistics.
Account reviews need a proposal drafted from the figures. See AI Proposal System for Logistics.
How it works
- Your TMS or tracking API connects read-only as the main source, with document storage or a Google Sheet as the second and third, for example for carrier rate cards or customer targets.
- Your definitions are agreed up front: what counts as on time, which statuses mean an exception, and how lanes and customers are grouped.
- Someone asks in Slack, email or the web dashboard, 'Which carriers had the most delivery exceptions on the northern lanes last month?', and gets a chart with a summary.
- Every figure shows the query or file it came from, so an account manager can quote it to a shipper with confidence.
- A weekly carrier and exception report goes out, with up to five alerts, such as open exceptions for one customer passing a level you choose.
- Before launch, results are checked against three months of your shipment history.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- Read-only access to your TMS or tracking API, and to any document storage or sheets you want included.
- Definitions of on-time delivery, exception statuses, lanes and customer groupings.
- At least three months of shipment history.
- The recurring questions operations and account managers ask, ranked by priority.
- Alert thresholds for exceptions, and who should receive the weekly report.
- One operations lead who approves the definitions.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Intake verified; exception statuses, lanes and on-time rules agreed.
Weeks 1–2
TMS or tracking API and supporting sources connected read-only.
Week 3
Weekly carrier and exception report plus up to five alerts built.
Weeks 3–4
Answers checked against three months of shipments.
Week 4
Your review and two rounds of changes.
Go-live
Live, handoff recorded, support begins.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $5,900 |
| Express | 15–25 working days | $6,800 |
| Rush | 10–20 working days | $7,650 |
What you receive at handover
- The AI data analyst agent for Logistics, live in email, Slack or a web dashboard
- Read-only connections to up to three sources, such as your TMS or tracking API, document storage and spreadsheets
- Logistics metric definitions and report templates
- One dashboard or recurring report plus up to five threshold alerts
- A test report checking results against three months of shipment history
- An admin guide, the recorded 60-minute handoff session and 30 days of post-launch support
Expected benefits and how to measure them
- Can flag rising exceptions while there is still time to act
- Helps you judge carriers on consistent figures
- Gives finance and operations one agreed delivery number
- Time from exception spike to response
- Note when spikes were spotted before launch, using past incident notes. Compare with alert times after launch.
- Carrier review preparation time
- Time how long the monthly carrier review takes to prepare, before and after launch.
- On-time delivery rate
- Track it monthly using the agreed definition, so changes reflect performance rather than method.
Before you start: Record current exception volumes and on-time delivery as each team reports it. Time how long carrier comparisons take today.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build itself is a one-time payment, shown before you buy. Running costs are roughly $20 to $150 a month in your own accounts for AI model usage and hosting or scheduling, depending on question volume and how often the alerts check your data.
TMS and tracking subscriptions, and AI usage during build and testing, are billed to you directly.
Ask about running costsCustom requirements
A fourth source, such as a warehouse system, or alerts sent to WhatsApp rather than the scoped channel, needs a written Change Quote. Add a note at checkout and we send it to you. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
Monthly maintenance covers monitoring, fixes, updates, a health report and change hours for things such as a new carrier, lane or exception status. The hours scale with your build, and bigger changes go through a Change Quote. Maintenance starts after the included support period and can be cancelled any month.
$295/mo (5% of the build price a month, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A supply chain analytics platform bills annually per user | A logistics consultant quotes per study | Ours is one fixed price, shown before you buy |
| Carrier questions | Fixed carrier scorecards | Answered once in a report | Ours answers any carrier or lane question using your definitions |
| Exception alerts | Generic thresholds | Not included | Ours alerts on up to five thresholds you set |
| Source shown | Rarely | In an appendix | Ours shows the query or file behind every answer |
Questions about this product
Which logistics systems can the Logistics data analyst read?
Up to three read-only sources. The main one is usually your TMS or a tracking API, with document storage or Google Sheets as the others, for carrier rate cards, customer targets or manual logs. A warehouse system or a second TMS would be a fourth source and needs a written Change Quote.
Can it measure on-time performance by carrier or lane?
Yes, using your definition of on time and the way you group lanes. Ask for a carrier, a lane, a customer or a date range and it returns a chart and a short summary with the query shown. If delivery timestamps are missing for some shipments, the answer says how many were excluded.
How do exception alerts work in the logistics edition?
You set up to five thresholds, such as open exceptions for a key customer or failed deliveries on a lane in a week. The agent checks your data on the schedule agreed and sends an alert to your chosen channel when a threshold is crossed, naming the shipments behind it.
Will the analyst update shipment records in our TMS?
No. Every connection is read-only, so it cannot change statuses, bookings or documents. It reads shipment data to answer questions and raise alerts, and shows where each figure came from. Actions such as contacting a carrier stay with your operations team.
What does the Logistics data analyst cost to run each month?
Roughly $20 to $150 a month in your own accounts, for AI model usage and hosting or scheduling. Frequent alert checks across a large shipment history sit at the higher end. There is nothing to pay us per question, and monthly maintenance is optional.
How long does the Logistics analyst take to deliver?
The standard, Express and Rush delivery times are shown in the price panel before you order, and the clock starts after a verified intake. TMS access and agreed exception definitions are the key intake items, and intake is due within 72 hours of ordering.
See the pattern behind the exceptions, not just the next one.
Order AI Data Analyst Agent for Logistics and carrier, lane and exception questions are answered from your TMS data, with alerts on the thresholds you set.
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