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Unimed Campinas uses AI to forecast demand and issue supply purchase orders

With GTPLAN IA, the planning team left repetitive analysis behind and focused on exceptions, while automation runs the flow through to the order.

Profession
Buyer
Tools
GTPLAN IA
Source
gtplan.net ↗
Country
🇧🇷 Brazil
Report date
October 5, 2026
Verified on
November 6, 2026
Illustrative photo: Health sector

What they did

Unimed Campinas adopted the GTPLAN IA platform for hospital supply management. The AI forecasts demand from consumption, spots replenishment needs and runs planning flows through to purchase-order issuance, inside parameters set with the team. The rollout mapped which items and strategies to automate, prioritizing high SKU volume, with traceability and human oversight on exceptions.

How it went

In the account published on GTPLAN's blog on 5 October 2026 (and echoed by IT Forum on 5 November), analyst Rodrigo Gatti and coordinator Aline Dalacqua describe less time on manual analysis, more predictability and a team focused on exceptions and strategic decisions. The piece does not give a savings percentage or an exact volume of automated orders.

Good to know

The main source is the vendor (GTPLAN), with named Unimed quotes. There is no public metric for savings or avoided stockouts; the gain described is operational and qualitative.

The prompt

I buy supplies for [hospital or clinic] and have this consumption and stock history [paste a summarized sheet, with no patient data]. For each item, estimate next-period demand, say whether to reorder now, suggest an order quantity inside these parameters [paste lead time, minimum stock and lot size] and draft a purchase order. Separate what can stay automatic from what needs human review (critical item, price outside the band, single supplier) and explain the rule.

Replace what is in [brackets]. Prompt written by us from the account, not a literal copy of the source. Do not paste other people’s personal data (privacy laws such as LGPD and GDPR apply).

Summary in our own words. Results as stated in the original account; we have not tested or audited them. Read the source ↗ Found a mistake?

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