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AZ54

Better market visibility starts with better routine data.

Most health market decisions are made on surveys that are months old. The dispensing that happens every day is a faster signal — if it can be standardized and aggregated.

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See healthcare markets as they actually operate.

ILLUSTRATIVE DATA

Illustrative example. The figures shown are invented and are not AZ54 data. Product availability by market, as a share of participating points of sale reporting stock.

ILLUSTRATIVE DATA

Illustrative example. The figures shown are invented and are not AZ54 data. Median dispensed price for one product family, over twelve months.

ILLUSTRATIVE DATA

Illustrative example. The figures shown are invented and are not AZ54 data. Stock-out signals raised per week, by product family and market.

Every figure on this page is invented for illustration. We publish no market data we have not been given the right to publish, and we invent none.

Where the signal comes from.

A dispensation is recorded because a pharmacy needs it for its own stock and accounting. That record already exists, already carries a product, a quantity, a price and a date, and is already produced thousands of times a day. Standardize the product names, aggregate across a network, and you can see availability and price movement in the same week they happen — not in the next survey round.

Two honest limits. A network only sees what its participants dispense, so coverage is a property of the network, not of the country. And this layer is on the roadmap: what exists today is the transaction reporting of the financial services module.

Who needs this view.

  • Target

    Ministries and public health agencies

    Shortage monitoring and programme targeting between survey rounds.

  • Potential

    Manufacturers and distributors

    Real availability at the point of dispensing, rather than sell-in to a wholesaler.

  • Target

    Researchers and funders

    Routine data as a denominator, and a way to see whether a programme changed anything.

Labels are honest: target means we want to serve them and do not yet.

Tell us the question you cannot answer.

The early conversations shape what this layer measures first.

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For data usersHow the infrastructure works