Supply Chain & Logistics
Carrier and 3PL performance reporting
Aggregate on-time delivery, claims, and SLA data across carriers into structured performance summaries for logistics reviews and contract negotiations.
50–70%
reduction in performance reporting effort
Opportunity assessment
Minor improvement. Small efficiency gain with limited effect on overall turnover or bottom line.
Relatively straightforward. Off-the-shelf tools handle the core task. Implementation is well-understood with good examples to follow.
Moderate data needs. Works with data most businesses hold, but will likely need consolidation, cleaning, or reformatting before use.
Very low risk. Fully internal use. A person checks everything before it goes further. Worst case is a minor internal inconvenience.
Very easy to absorb. Runs quietly in the background or gives people a helpful new input. Makes everyday work easier with almost no friction.
Tooling required
Things to consider
Carrier data formats vary — some provide structured feeds, others PDFs or portals. The data extraction layer is the main complexity.
Define your KPI framework before building the report: on-time rate, damage rate, claims resolution time, etc. The AI formats what you define.
The biggest value is in using the structured data for contract negotiation leverage — make sure the output is in a format that works in supplier conversations.
The discipline of building this report often surfaces data quality issues — inconsistent carrier naming, missing delivery timestamps — that have been obscuring the true performance picture. Fix these first.
Experiment starter: Manually pull performance data for your top three carriers for the last quarter. Prompt an LLM to produce a structured performance summary in your preferred format and share it in the next logistics review. If the team finds it more useful than the current reporting, automate the data pull.
Go deeper in the playbook
Section — Opportunity Identification, including the AI Opportunity Assessment ScorecardSection — RAG and Knowledge Systems: Unlocking Proprietary DataThis is an decision support opportunity — see the relevant playbook section for how to approach it.More in Supply Chain & Logistics
Supplier document review
Review supplier contracts, compliance certificates, and T&Cs against standard requirements. Flags gaps and deviations for procurement team review.
Purchase order exception handling
Identify anomalies in PO data — price variances, quantity mismatches, missing references — and route to the right team with context and suggested resolution.
Demand pattern summarisation
Convert sales, stock, and forward-order data into plain-language summaries for planning meetings. Identifies trends, spikes, and cover risks.
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