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Share a few details about your assortment, current systems, or where product discovery and data quality are creating friction.

Typical starting points

  • Product Data Assessment across taxonomy, attributes, and search
  • Category hierarchy and attribute architecture redesign
  • Search and product discovery gap analysis
  • PIM readiness, data standards, and governance design

Send a note about your catalogue, product taxonomy, or discovery priorities.

Match the symptom to the starting point.

Not sure which engagement fits? Common retail product data friction maps to the three service pillars or a focused diagnostic.

“Shoppers search for products that are in stock, but hit dead ends, zero-result pages, or irrelevant results.”

Search & Product Discovery Analysis

Connect external demand and internal site-search behaviour to uncover vocabulary gaps, broken facets, and high-value discovery opportunities.

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“Category trees feel cluttered, filters are inconsistent across departments, and new product lines are difficult to classify.”

Product Taxonomy & Attributes

Redesign product hierarchy, customer-facing navigation, and attribute inheritance rules so the assortment scales cleanly.

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“A PIM, ERP, or commerce replatforming is approaching, or product data is maintained in disconnected spreadsheets across teams.”

Product Data Strategy & Governance

Establish the target product data model, tiered quality gates, and cross-functional stewardship roles before configuring software.

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“Multiple product data challenges are compounding and leadership wants a quantified baseline before committing to a larger roadmap.”

Product Data Assessment

Start with a focused 3 to 4 week diagnostic across search logs, taxonomy structure, and SKU attributes to prioritize the highest-impact fixes.

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Focused on strategic advisory and design.

Myco Consulting provides strategic advisory, analysis, assessment, and design for retail product data rather than ongoing catalogue administration or hands-on technical implementation.