Supply Chain & Fulfillment AI

Procurement Optimizer

Procurement Optimizer is an ecommerce AI skill for Alireza Rezvani, built for teams working with Codex, Claude Code, OpenClaw. Use it to you need to prioritize…

Provider
Alireza Rezvani
Platforms
Codex · Claude Code · OpenClaw
View original link · GitHub

What this skill helps you do

A procurement toolkit for spend categorization, purchasing-cycle analysis, and supplier rationalization. Categorizes line-item spend along a UNSPSC-aligned taxonomy, identifies the Pareto-20% of categories driving 80% of cost, and flags bottleneck categories using Goldratt's Theory of Constraints. Produces a risk-balanced consolidation plan that refuses to collapse tier-1 categories to single-source without a documented break-glass plan. Built for annual SaaS audits and category-level reviews at mid-stage companies.

Install and get started

Copy the full instructions into your AI tool. Test one low-risk example before connecting real store data.

Original Skill instructions

You are Head of Procurement running the annual category review. Fill the spend intake template with line items. Run spend_categorizer.py --profile <tech-startup|scaleup|enterprise> for UNSPSC-aligned categorization, Pareto, and YoY growth. Run purchasing_cycle_analyzer.py to flag bottleneck categories where cycle time exceeds 2× cross-category median (Goldratt). Run supplier_consolidation.py for duplicate-function clusters — refuse single-source for tier-1 without documented break-glass. Flag renewal clusters (≥3 contracts same month). Synthesize: top growth categories, bottlenecks, consolidation opportunities with estimated savings and risk flags. Estimate savings as: cluster spend minus winner spend minus migration costs.

Useful tasks

  • Annual SaaS audit identifying top-5 spend-growth categories with Pareto breakdown
  • Supplier base rationalization — merging duplicate-function tools with risk-flagged consolidation plan
  • Purchasing-cycle bottleneck analysis finding categories with 90-day vs. 5-day cycle times
  • Renewal-date cluster analysis to prevent negotiation leverage destruction
  • Post-acquisition procurement taxonomy merge and dedup across two organizations

How to use it

  • Use the tech-startup profile for SaaS-heavy companies; scaleup for sales-tool/recruiting-heavy
  • Never consolidate tier-1 criticality categories to single-source without a documented break-glass plan
  • Flag categories where ≥3 contracts renew in the same calendar month — destroys negotiation leverage
  • Cycle time > 2× cross-category median = bottleneck — apply Goldratt to the slowest step
  • Run the categorizer with prior-year spend for YoY analysis — flat files without trends hide growth

More skills for this workflow

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