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Ask about your prices. Qira analyzes and explains.

A subscription AI agent with six Quantiz analyses based on your own files. It recommends, your team decides.

Immediate access

Once the license is active, your team can start using it.

No integration

You send spreadsheets and tabular files, with no IT project.

Subscription

No implementation project and no infrastructure to maintain.

Qira price optimization report showing the simulated impact on revenue and margin, with the portfolio decision-space chart
Real excerpt from a Qira optimization report. Impacts are simulation estimates, not realized gains. Names anonymized.

The questions your pricing team asks every week.

Price elasticity

“How much does volume react to a price change?”

Main data used

Price and volume history by product

Sell-out positioning

“Is our shelf price where we want it to be against the competition?”

Main data used

Own and competitor sell-out prices

Promotion effectiveness

“Which promotions generate incremental volume and which only subsidize sales that would have happened anyway?”

Main data used

Promotional calendar and sales

Price optimization

“Which prices deliver the best estimated result within targets and constraints?”

Main data used

Elasticity, costs and commercial constraints

Main offender

“Which products are gaining share while ours are losing it, and where are there signs of cannibalization?”

Main data used

Volume share by product and period, for the whole market

Portfolio segmentation (KVI)

“Which items are price references for the customer and deserve differentiated management?”

Main data used

Elasticity and revenue

New analyses are added over time, prioritized together with clients.

Why use an AI specialized in pricing?

In a general-purpose tool, your team has to set up and validate the method and the analysis criteria. Qira comes with Quantiz analyses ready to use.

Pricing methodology

Each analysis follows a pricing method defined by Quantiz, with data and criteria specific to the question.

Calculations by code, interpretation by AI

Calculations are run by code. Qira uses the results to explain the analyses and recommend actions to your team.

Specialists close by

A Quantiz consultant follows up on usage periodically and helps turn the analyses into decisions.

Qira promotion report comparing the discount granted with incremental volume and incremental units per R$1,000 of discount at each discount-depth tier
Real excerpt from a Qira promotion report. The comparisons show observed association, not proof of causality. Names anonymized.

How it works

  1. 1

    You get access

    Once the license is active, your team can start using it.

  2. 2

    You send the data

    Spreadsheets or tabular files. Each analysis shows what it needs.

  3. 3

    Qira calculates and explains

    Each recommendation comes with the results and the reasoning in plain sight.

  4. 4

    Your team decides

    Qira recommends. The pricing decision is always yours.

Your data, under control.

Where the files are stored, which AI takes part in processing and what happens to the data when the contract ends.

Storage

Files are stored on Microsoft Azure, in the Brazil South region, in São Paulo.

AI processing

Explanations and recommendations use Claude, by Anthropic. Your data is not used to train models.

Used only for your analyses

Your data is neither sold nor shared with other clients.

Deleted when you leave

When the contract ends, your company’s data is deleted from the Qira database. Before that, your team can export the results.

Frequently asked questions

Each analysis lists the fields and structure it needs, such as price and volume history, the promotional calendar or sell-out prices. Qira accepts tabular files in Excel (.xlsx), CSV, TXT, JSON and Parquet. Which analyses make sense depends on the available data and its quality, and this is assessed in the initial conversation.

Access is immediate. Once the license is active, your team can send the data and ask the first questions.

Qira works with the files your team sends. Since there is no integration, ERP data does not update itself in Qira: to analyze a new period, your team sends the updated files.

The six Qira analyses, for up to 10 users in your company, with periodic follow-up from a Quantiz consultant. Your team can export the results, including before the contract ends.

No. It analyzes, explains and recommends. The decision and the execution remain with your team.

A Quantiz consultant follows up on usage periodically and helps your team read the analyses and turn them into decisions. Day to day, Qira works on its own.

No. Qira works with the files you send. If your company needs a system integrated with the ERP, publishing prices and effective dates, discover Quantiz custom-built systems.

Learn more about Qira, the AI agent for pricing

Talk to our specialists to learn about Qira’s analyses and how it can support your pricing team.

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