Merchandising & Buying
Buyer brief generation
Draft structured buying briefs from season parameters, trend references, and last-year performance data. Reduces prep time before supplier meetings.
50–70%
reduction in brief preparation time
Opportunity assessment
Negligible commercial impact. Saves time at the margins but won't move the needle on revenue or profit.
Very easy to implement. Ready-to-use tools exist. Can be up and running in days or weeks with minimal technical resource.
Light data requirements. Uses straightforward inputs — documents, product descriptions, customer records — that are usually accessible with minimal prep.
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
A standard brief template is essential — the AI populates a format, not a blank page. Define the structure first.
Buyers still need to review and add commercial context (relationship nuances, supplier-specific angles) before meetings.
Best run as augmentation: AI generates the first draft in minutes, buyer refines and adds judgment before the meeting.
The brief is only as good as the season parameters you feed in. If these live in someone's head rather than a structured document, capturing them is the first task before the AI can help.
Experiment starter: For three upcoming supplier meetings, give the AI last season's performance data, the season brief parameters, and your standard template. Have the buyer rate the draft and track how much they needed to add. If they consistently describe it as a useful starting point, formalise the workflow.
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 Merchandising & Buying
Product description writing
Generate first-draft product descriptions from attributes, imagery, and brand guidelines. Buying team reviews, edits, and approves before publish.
Supplier spec sheet extraction
Extract structured product data from unstructured supplier spec sheets, PDFs, and email attachments. Outputs clean records ready for system upload.
Range review analysis
Summarise sales performance, markdown rates, and return data by category to surface underperformers and inform ranging decisions.
AI Transformation Playbook
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