> ## Documentation Index
> Fetch the complete documentation index at: https://elastly.io/docs/llms.txt
> Use this file to discover all available pages before exploring further.
# Introduction
> Elastly prices every line from your own data, shows its reasoning, and never moves a price outside the limits you set.
Elastly is pricing intelligence for companies that sell at scale. It connects to the system you
already run on, learns what your prices should be from your real costs, customers, and sales, and
recommends a price for every product. You see the reasoning behind each one, and nothing reaches a
customer until you approve it.
## How a price gets built
Elastly does not guess a number. It builds one, a step at a time, and every step is visible.
It starts with a base margin for the product's category. Then it adds adjustments for the things
that genuinely change the right price: who the customer is, where they are, what terms they are on,
whether your cost is trending up, and how demand is moving. Each adjustment is a labelled step with
its own size, so a price is a stack of reasons you can read, not a black box.
Then your guardrails clamp it. A margin floor it can never dip below, an optional ceiling, a limit
on how far a price can move at once, and your rounding. The recommendation tells you which guardrail
had the final say.
This is additive margin stacking, not elasticity modelling. Elastly does not try to fit a demand
curve to your catalog. It starts from a margin you chose and adjusts it for reasons you can name.
## It learns from what actually sold
When a quote is won or lost, Elastly nudges the margin for that customer and product by a small,
careful amount. Sell more, and the pricing gets sharper. The learning is bounded by the same
guardrails as everything else, so it can tighten your pricing without ever surprising you.
## Nothing changes until you say so
Elastly queues only the products whose price should move. Each one arrives with its reason and the
drivers behind it. You approve or reject, or you let prices apply on their own once they are safely
inside your guardrails. Every change is recorded, so you can track realized margin over time.
## Start here
Connect a source, set your guardrails, and get to your first recommendation.
How NetSuite, Shopify, BigCommerce, and WooCommerce sync into canonical data.
How the margin stack is assembled, and how strategies shape it.
The limits a recommended price can never cross.
What travels with every recommendation, and how to read it.
Ask for a customer- and quantity-specific price, with the reason stack attached.