grocery-price-bookv1.0.0

A family notices their weekly grocery spend rising despite buying the same items. They log receipts into the price book, run the report, and discover specific items where their usual store has raised unit prices or shrunk package sizes. They then shift those items to a cheaper store and time stock-ups around historical price floors.

A shopper is considering a $60/year warehouse club membership but isn't sure it pays off. Using the membership command, the skill compares overlapping items between their current stores and the club, computes the observed savings rate, and recommends keeping or dropping the membership based on real basket math.

A consumer suspects that a favorite cereal box got smaller while the price stayed the same. By tracking package sizes and prices over time in the price book, the shrinkflation detector flags items whose unit price jumped more than 10% or whose size shrank at a constant price. The user gets documented proof for complaints or brand switching.

While standing in the aisle deciding between a 2L bottle, a 6-pack of 1L bottles, and a single 1L bottle, the shopper runs the unit command with the three options. The tool normalizes each to price-per-liter instantly, revealing the true best deal without mental math or misleading shelf tags.

When turkey goes on sale at $0.99/lb, the user asks how much to buy and freeze. The bulk command combines their historical consumption rate, the product's shelf life in the freezer, and the sale price versus normal price to calculate the optimal quantity and the actual savings per month of storage.

A mobile or web app built on top of the price-book engine offers free manual entry, receipt import, and basic store ranking. Premium tiers unlock multi-user households, cloud sync, price alerts, and advanced analytics.

Supermarkets, consumer advocacy groups, or price-comparison services license the unit-price engine, shrinkflation detector, and basket-ranking logic as an embeddable API or dashboard. It helps them analyze competitor pricing or provide transparency tools to shoppers.

Users optionally contribute anonymized, locally-aggregated price observations in exchange for premium features or small rewards. The aggregated data on real-world unit prices and shrinkflation trends is sold to researchers, journalists, or consumer watchdogs.