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What Is Guided Buying? How It Improves Procurement Without Slowing Research

by ZAGENO
 | 1 min read
scientist procuring on a computer tablet with the help of AI

Imagine a researcher needs supplies for an upcoming experiment. Instead of logging into multiple supplier portals, comparing distributors, checking contracts, and determining which supplier procurement prefers, they simply describe the need in plain language.

Behind the scenes, an AI-enabled procurement platform identifies relevant products, applies the organization’s supplier strategy, and directs the request through the approved purchasing process.

That is guided buying.

For pharmaceutical and biotech R&D organizations, guided buying does more than simplify product searches. It bridges the gap between scientific intent and procurement strategy, supplier data, approval rules, and enterprise systems. Researchers receive relevant purchasing recommendations without becoming procurement policy experts, while procurement gains greater control because strategy is applied when buying decisions are made.

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Key concept

Guided buying makes the compliant choice the easiest choice.

What Is guided buying?

Guided buying is a purchasing process that directs employees toward preferred suppliers, approved products, negotiated pricing, and compliant workflows based on an organization’s procurement policies.

Traditional procurement systems often require employees to find the correct supplier, interpret purchasing rules, and select the appropriate buying channel themselves. Guided buying embeds those decisions directly into the user experience.

An advanced guided buying system can:

  • Prioritize preferred suppliers and products.
  • Apply negotiated contracts and pricing automatically.
  • Recommend approved, high-quality alternatives.
  • Route purchases according to specific categories, cost centers, G/L codes, or projects.
  • Enforce budget and approval thresholds before the buy happens.
  • Direct exceptions through the proper review channels.
  • Consolidate spend to help procurement reach rebate commitments.

This guidance can appear through search rankings, product recommendations, supplier routing, approval workflows, or conversational AI. The purpose is not to limit access to scientific supplies. It is to make the best purchasing path the easiest one to follow.

Guided buying is moving upstream

Earlier iterations of guided buying systems typically began when an employee entered a procurement portal and searched for a product. The system then presented preferred catalog items or issued policy warnings.

AI has fundamentally changed where this process begins.

In 2024, Deloitte described a future guided buying model in which employees would explain what they wanted through a chat-based interface. An LLM would identify the appropriate buying channel, provide preferred product and supplier choices, flag policy issues, and submit the completed purchase request.

That future is officially here. Today, a researcher can begin with a scientific objective rather than a SKU or product number. The request might originate in an internal LLM, electronic laboratory notebook (ELN), laboratory information management system (LIMS), or another tool already used to plan and document research.

Guided buying works silently in the background to translate that scientific need into a compliant transaction, moving procurement upstream of the supplier decision.

Step-by-step: How the guided buying process works

An advanced guided buying process connects scientific tools, AI, product data, supplier strategy, and financial systems.

  1. The researcher describes the need

    The process begins when a researcher explains an experiment or supply requirement in plain language or prompts an internal AI assistant to use a protocol stored in an ELN. This removes the need to begin with a supplier name, exact SKU, or procurement category.

  2. The AI interprets the request

    The internal LLM or purchasing assistant identifies the exact products required to support the experiment based on the protocol, past purchases, or the researcher’s description. The goal is to translate scientific intent into product requirements without asking the researcher to perform a manual catalog search.

  3. ZAGENO matches the request with purchasable products

    The request passes to ZAGENO, where scientific search and product data identify relevant items across our 6K+ supplier network, comparing technical specifications, pricing, availability, lead times, and viable alternatives.

    For a closer look at this product-discovery process, read our guide on how AI is transforming scientific purchasing.

  4. Procurement strategy is applied

    ZAGENO automatically evaluates the matched products against your organization’s specific guardrails, including preferred suppliers, contracted/negotiated pricing, geographic requirements, cost center rules, approved alternatives, budget thresholds, supplier restrictions, and approval requirements. Researchers do not need to memorize these rules, as they are embedded within the recommendations and buying path.

  5. Smart routing selects the appropriate supplier

    Because the same scientific product may be available via a manufacturer, a distributor, or a contracted supplier, smart routing determines which path best supports your strategy (e.g., prioritizing a preferred distributor to hit rebate thresholds). Non-preferred options are deprioritized or hidden entirely. The researcher receives a relevant recommendation. Procurement gets the intended commercial result.

  6. Products enter one cart

    Even if the recommended supplies originate from five different suppliers, they are assembled into a single, unified cart. The researcher reviews and confirms the request without ever leaving their day-to-day workflow.

  7. The request follows existing approval rules

    Guided buying does not replace the organization’s financial controls. The request automatically routes through your existing financial controls based on value, cost center, or project. Exceptions can be routed to the appropriate person rather than handled through email or discovered after the transaction. ZAGENO connects approved requests directly to your existing ERP and P2P environments.

    Learn more about integrating ZAGENO with ERP and P2P systems.

  8. Automated ordering and reconciliation

    Once approved, ordering, fulfillment, and invoicing happen in the background. ZAGENO’s single-creditor model consolidates transactions across suppliers, keeping records clean for three-way matching and auditing.

 

Case study: Guided buying in practice at Sanofi

Sanofi demonstrates how this model can work at enterprise scale. The company first consolidated approximately 60 regional punchouts into a single-entry point through ZAGENO. They then introduced guided buying and smart supplier routing to steer purchasing demand directly toward strategic partners.

To make the process even more seamless, Sanofi integrated ZAGENO with its internal, Claude-based LLM, Concierge. Scientists can describe their experiment inside their day-to-day chat environment and complete a compliant order without ever leaving their scientific workflow. ZAGENO acts as the invisible engine connecting the request to product search, category strategy, and execution.

“Thanks to ZAGENO, I don't need to communicate my category strategy to anyone except my CPO. Scientists just go into the ZAGENO platform, and the agent within that platform executes the strategy for them, providing the best recommendations.” — Achraf Bannai, Global Head of Digital/Scientific Procurement & Innovation at Sanofi

By embedding procurement strategy into the scientific workflow, Sanofi successfully digitalized 99% of its R&D tail spend and reduced preferred-supplier leakage by 10% to 15%.

The strategic benefits of guided buying

Guided buying provides a rare win-win: it gives researchers speed while granting procurement and finance total control. Its benefits extend from individual product searches to overall supplier strategy, compliance, and research continuity.

Benefit
How It Works
Strategic Impact

1. Less Time Spent Purchasing

Eliminates manual multi-catalog searching and contract checking. Researchers describe what they need and receive recommendations that reflect real-time availability.

Directs time back to science and helps Research Operations teams keep discovery moving by eliminating administrative bottlenecks.

2. Default Policy Compliance

Embeds preferred suppliers, approved products, and spending limits directly into the search experience.

Users automatically follow company procurement policies without needing to memorize complex contracts.

3. Reduced Supplier Leakage

Smart routing automatically directs purchasing demand to contracted vendors before a researcher checks out.

Maximizes negotiated pricing, consolidates vendor spend, and helps procurement hit volume rebate commitments.

4. Mitigated Maverick Spend

Makes approved, compliant purchasing paths the fastest and simplest option for the lab.

Drastically reduces off-contract, unmanaged spending. Exceptions follow a clear review process rather than being flagged post-transaction.

5. Earlier Procurement Influence

Applies category strategy during the product recommendation stage, before a scientist chooses a supplier.

Procurement proactively guides purchasing decisions rather than acting as a manual, slow approval bottleneck.

6. Clean, Audit-Ready Data

Integrates and standardizes cost-center, project, approval, and order data across every transaction.

Reduces manual accounting entry, streamlines reconciliation, and builds a highly reliable audit trail.

7. Improved Research Continuity

Instantly surfaces in-stock alternatives and approved substitute suppliers before a stockout delays work.

Researchers make faster decisions with immediate visibility into pricing, lead times, and available inventory.

The measurable value of easier compliance

The Hackett Group reported that Digital World Class procurement organizations experienced 59% less savings loss from maverick buying and contract noncompliance. Its research also identifies chatbot-based guidance toward the right supplier and contract as an important application of AI.

Clearing up the confusion: Key distinctions

Guided buying vs. a marketplace

  • A marketplace gives users access to a broad catalog of products from multiple suppliers through a single interface. It creates choice.
  • Guided buying determines which of those products and suppliers should be presented based on your organization's logic and agreements. It makes choice manageable.

When combined, a broad scientific marketplace like ZAGENO paired with guided buying rules gives researchers variety while keeping procurement in control.

Guided buying vs. a punchout catalog

  • A punchout catalog is simply a technical connection method between an e-procurement system and a single external supplier’s site. Researchers must still jump between separate punchouts to compare items.
  • Guided buying operates holistically across all suppliers in a single search, applying strategy before the checkout request ever hits your ERP.

Guided buying within scientific procurement orchestration

While guided buying optimizes the point of purchase, Scientific Procurement Orchestration coordinates the entire ecosystem.

Orchestration connects researchers, scientific applications, suppliers, inventory, ERPs, and financial data into one unified operating model. Guided buying is how procurement strategy is executed at the exact moment of need; orchestration is how that request travels from a scientist's mind to lab-bench delivery.

Together, they allow buying to disappear into the science while procurement stays in control.

Explore how this connected model supports modern life sciences procurement.

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Turn scientific intent into compliant purchasing

Researchers shouldn't have to double as procurement experts. ZAGENO connects scientific requests with intelligent product discovery, preferred supplier logic, and automated enterprise workflows.

Let your scientists focus on the science, while your procurement strategy runs flawlessly in the background

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FAQs about guided buying

  1. What is guided buying in procurement?
    Guided buying is a purchasing process that directs employees toward preferred suppliers, approved products, negotiated pricing, and compliant workflows based on organizational procurement policies.
  2. How does AI improve guided buying?
    AI allows researchers to describe what they need in plain language. The AI then interprets the scientific intent, identifies the target products, recommends preferred suppliers, and routes the transaction correctly.
  3. Does guided buying restrict supplier choice?
    No. Guided buying prioritizes preferred and compliant options while allowing organizations to define how alternatives and exceptions should be handled. It can preserve access to a broad supplier network while steering appropriate purchases toward strategic partners.
  4. How does guided buying reduce maverick spend?
    Guided buying makes approved suppliers, products, and purchasing channels easier to use. It also applies policies and approval rules before a purchase is completed, reducing the likelihood that employees will buy outside established contracts.
  5. Can guided buying integrate with an ERP or P2P system?
    Yes. Modern guided buying sits upstream, feeding clean, approved requisitions, POs, and invoices directly into systems like SAP, Oracle, Coupa, or Jaggaer.

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