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.
50–70%
reduction in document review time
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.
Light data requirements. Uses straightforward inputs — documents, product descriptions, customer records — that are usually accessible with minimal prep.
Moderate risk. Some customer or external exposure. Errors create rework or reputational impact but are recoverable.
Light people impact. A new tool slots into an existing workflow. Minimal training needed. Most people will adapt quickly.
Tooling required
Things to consider
UK food importer Portumna Pastry used ABBYY and CustomsTrack to achieve 5-minute customs clearance (down from hours) with 100% data accuracy, eliminating broker costs entirely (ABBYY).
Your standard requirements checklist must be clearly documented and embedded in the RAG system — the AI checks against what you tell it to check against.
Legal documents vary significantly in structure and language. Expect the AI to flag more than it misses; calibrate sensitivity with the procurement team.
Human sign-off before any contract action is essential — this is decision support for the reviewer, not a replacement for legal review.
Tune for high recall rather than high precision in the early stages — it is better to over-flag and have a human clear false positives than to miss something material in a compliance document.
Experiment starter: Take 20 recently approved supplier compliance documents. Run them through an LLM against your requirements checklist and compare the AI's flags against the human reviewer's notes. If the AI catches 90%+ of the issues the human caught, the case for using it as a first-pass filter is made.
Go deeper in the playbook
Section — Opportunity Identification, including the AI Opportunity Assessment ScorecardSection — The Experimentation FrameworkThis is an augmentation opportunity — see the relevant playbook section for how to approach it.More in Supply Chain & Logistics
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.
Customs and trade document preparation
Draft import/export documentation from product data and supplier information. Reduces manual effort and improves accuracy on routine shipments.
AI Transformation Playbook
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