The Angel Index. A normalized benchmark for every product.
Angel aggregates purchasing data across vendors, regions and groups, matches identical products, and normalizes every price to its cost basis. That baseline is contextualized to each operation, with pricing measured against it, so you're never overcharged.
The same product, bought a hundred different ways. On paper, the prices look unrelated.
Picture 100 groups buying 4/10LB cases of boneless skinless chicken breast. It comes from 10 vendors across 20 regions, described a dozen different ways, for operators with different product mixes, drop sizes and volumes. Compared directly, the prices tell you almost nothing.
How the index is built. Every product, every day.
An invoice shows the price. Angel knows what's behind it.
The same price can be a great deal for one group and an overcharge for another. It depends on the margin, the deals underneath it, and each group's drop sizes and volume.
Angel sees the distributor agreements and manufacturer deals behind every group's pricing, and it's all cost-plus, so the cost basis is known. Tools that only read invoices can't tell which is which.
Contextualized to every group. So every price is indexed correctly.
The universal cost basis is built on each group's margin, delivery terms and programs to set the price they should be paying. Every invoice line is then measured against it, and against how the market is moving.
One baseline. Working across the platform.
The index sets the target for every product in your savings analysis and gives Angel's team the leverage to negotiate.
Every invoice line is measured against your index the day it arrives, and overcharges are flagged.
Clean cost-plus data shows how each product moves with its underlying markets, including processed items markets don't cover.
Anonymized. Never published.
The index is leveraged within the platform, anonymized, and never published. No group's pricing is ever visible to another.