there are thousands of hidden dollars in how you buy right now. most teams never see them.
they're sitting in the gap between what your vendor's price break offers and what your team actually buys. buy too little, miss the discount. buy too much, tie up cash in inventory that sits for months.
using claude python scripting, here's what you can do:
take your historical sales data and your vendor's price break, paste the headers and a few sample rows into claude, then ask: "for each SKU in sales_history.csv and vendor_pricing.csv, calculate the optimal purchase quantity that maximizes net benefit while keeping days-of-coverage under 90. factor in a 20% annualized carrying cost. output as price_break_analysis.csv — SKU, recommended qty, new unit cost, gross savings, carrying cost, net benefit, days of coverage."
claude writes the script. you run it. you get a ranked list of the SKUs where a quantity change actually pays — and the ones where it doesn't.
this doesn't replace purchasing judgment. cash, vendor relationships, storage all still matter. but it surfaces the specific buys worth negotiating or committing to.
run it monthly. the tiers that matter change with your demand.