Streamlining lab procurement means reducing the time, manual effort, and risk involved in sourcing, approving, ordering, receiving, and paying for lab supplies. In life sciences organizations, this typically requires coordinating researchers, procurement teams, finance, and suppliers within a single, auditable workflow.
For most labs, the goal is not just faster purchasing. It is improving visibility, staying compliant, controlling costs, and ensuring researchers can get what they need without workarounds or delays. For many teams, this also includes consolidating chemical and consumables purchasing across multiple suppliers into one controlled process.
In life sciences labs, procurement is no longer just about keeping shelves stocked. It directly affects research timelines, budget control, and regulatory confidence. When procurement breaks down, experiments slow, approvals stall, and scientists lose time to manual work that adds no scientific value.
Nearly all organizations now use digital source-to-pay or procure-to-pay systems, but for many, adoption remains partial. As PwC has noted in its research on P2P maturity, many organizations struggle to move from basic digitization to fully integrated, end-to-end workflows.
So, what does it actually take to move beyond skin-deep digitalization and build a procurement process that works for modern labs?
In most life sciences organizations, lab procurement workflow involves several interconnected steps:
When these steps are spread across emails, spreadsheets, and disconnected systems, delays and errors compound quickly. Streamlining lab procurement means connecting these steps into a single, predictable workflow.
Life sciences research moves quickly, but traditional procurement processes often lag behind.
Recent McKinsey research on global supply chain risk shows that tariffs are now the defining issue, with more than 80 percent of companies reporting tariff-related disruption and many prioritizing short-term mitigation tactics such as inventory shifts and supplier renegotiation over long-term digital transformation.
For labs operating in regulated environments, this volatility raises the stakes even further. Every purchase, approval, and supplier relationship must stand up to audit, funding requirements, and quality standards. Fragmented procurement workflows make that harder than it needs to be.
Leading life sciences labs streamline procurement by improving workflows first, then supporting them with the right technology.
Digital transformation is not automatic. Even digitally enabled labs run into common challenges.
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Pitfall
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What Happens
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How to Address It
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|---|---|---|
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Fragmented systems |
Teams toggle between vendor sites, emails, and spreadsheets |
Centralize supplier access and approvals |
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Manual paperwork |
Missed approvals and reconciliation delays |
Automate workflows end to end |
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Low user adoption |
Tools go unused or bypassed |
Invest in training and usability |
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Compliance blind spots |
Purchases fall outside audit trails |
Ensure all orders flow through a single system |
Modern procurement benefits more than finance teams. It supports faster research, stronger compliance, and better collaboration across the organization.
ZAGENO is typically used as a connective bridge that helps labs unify supplier access, approvals, and tracking across existing systems.
Teams use ZAGENO to search and compare products from thousands of scientific suppliers, guide purchasing toward preferred suppliers, route requests through automated approvals, track orders end to end, and maintain audit-ready records without manual reconciliation.
For many life sciences teams, procurement is stuck in a holding pattern. Systems are technically digital, but workflows remain fragmented, visibility is incomplete, and teams still rely on workarounds to keep research moving. As supply chain pressure, compliance requirements, and budget scrutiny continue to increase, that gap becomes harder to ignore.
Streamlining lab procurement is not about replacing everything you have. It is about connecting the pieces that already exist, reducing unnecessary manual effort, and giving procurement, finance, and scientific teams a shared view of what is happening. Labs that take this approach are better positioned to adapt to volatility, scale research programs, and keep scientists focused on discovery instead of administrative tasks.