Tinkerberry Labs
AI automation for logistics

Exceptions found before the customer finds them.

Your team lives in email, chasing carriers and retyping rate quotes, and delays are discovered by the consignee first.

Freight forwarders3PL and warehousingDistributorsLast-mile operators

90%+

of shipping documents parsed automatically

hours earlier

delay detection than manual checks

24/7

quote and tracking response

8

documented automations for this sector

The automations

Where logistics teams lose hours, and what replaces it.

Each one is a system we have specified and built before.

01

Shipping document processing

The manual process today
Bills of lading, packing lists and customs paperwork are keyed in by hand across formats and languages.
What we build
Extraction into your TMS schema with cross-document consistency checks and exception flagging.
Typical impact
Document handling time cut by most of its current cost.
Document AITMS integrationValidation rules
02

Proactive delay detection

The manual process today
Delays surface when a customer calls to ask where their freight is.
What we build
Continuous monitoring of carrier events, weather and port congestion, with customer notification and a suggested recovery plan.
Typical impact
Customers informed before they ask; escalations fall.
Carrier / port APIsEvent monitoringCustomer messaging
03

Quote and rate response agent

The manual process today
Rate requests arrive by email and take hours to answer, by which time the shipper booked elsewhere.
What we build
An agent that parses the request, prices from your rate tables and contracts, and returns a quote within minutes for approval or automatically under a threshold.
Typical impact
Quote turnaround measured in minutes; more requests won.
Rate tablesEmail parsingQuoting workflow
04

Carrier communication automation

The manual process today
Booking confirmations, POD chasing and status requests are manual email threads.
What we build
An agent that handles routine carrier correspondence, extracts confirmations into the TMS and chases missing PODs.
Typical impact
Operations staff freed from inbox triage.
Mail integrationTMS write-backEscalation rules
05

Customs classification support

The manual process today
HS code classification is slow and inconsistent, and mistakes are expensive.
What we build
Suggested classifications with reasoning and precedent from your own past declarations, confirmed by a broker.
Typical impact
Faster, more consistent declarations with an audit trail.
Tariff dataHistorical declarationsBroker review
06

Warehouse demand and slotting analytics

The manual process today
Pick paths and slotting are set once and never revisited.
What we build
Demand-driven slotting recommendations and labour forecasts refreshed weekly from order patterns.
Typical impact
Pick travel and overtime both reduced.
WMS dataForecastingRecommendation reports
07

Freight invoice audit

The manual process today
Carrier invoices are paid without checking against quoted rates and accessorials.
What we build
Automatic audit of every invoice line against contract terms with dispute drafting for discrepancies.
Typical impact
Overbilling recovered that was previously invisible.
Contract termsInvoice extractionDispute workflow
08

Supplier scorecard automation

The manual process today
Carrier and supplier performance is reviewed anecdotally.
What we build
Automated scorecards on on-time performance, damage, documentation quality and responsiveness, with a written monthly summary.
Typical impact
Procurement conversations backed by evidence.
Operational dataScoring modelReport generation
Questions

What logistics teams ask us.

That is common. We automate through email, EDI, file drops or a supervised browser agent, so a legacy system rarely blocks the project.

Document processing pilots usually run against your real paperwork within two to three weeks.

Audits are a fixed fee and are credited against a build. Single-workflow builds typically land in the low five figures, multi-workflow programmes higher, and ongoing running and support is a fixed monthly fee. You get the number before we start, not a rolling hourly bill.

A first pilot on your real data usually runs within two to four weeks of the kickoff call. Full deployment with integrations and training normally lands between weeks four and eight.

Your automation plan

Tell us what your logistics team keeps doing by hand.

Thirty minutes, no pitch deck. We map the process, tell you whether automation pays back, and give you a rough cost before you commit to anything.

You and the work

Two more short steps sharpen the answer. An engineer reads it either way and replies, usually within a business day.

Other sectors

Automations for adjacent industries.