Research laboratories: share reagents before ordering

01

The problem starts before the invoice

Teams can buy the same reagent repeatedly because neighbouring stock is invisible. Sharing a product unsuitable for a protocol can compromise an experiment. Visibility needs usable lots, storage conditions and reservations rather than just a list of containers.

The question is not simply where to buy more cheaply. It is which information must come together before deciding, who can confirm the requirement and how to check the outcome after purchasing. Start with a manageable scope, retrieve existing records and make discrepancies discussable with the people who understand operations.

02

An application to develop with Kelqio

Match experimental requirements to available approved reagents. Compare internal sharing with purchasing, including storage and transport.

The approach connects supplier information, catalogues, requests and orders. Each proposal should retain original references, the effective date of the terms used and the decision owner. Buyers can accept a suggestion, correct it or explain why it does not apply. That response becomes useful information for the next transaction.

Stock and replenishment

Identify items requiring coverage before suggesting orders that account for supplier lead times.

What the monitoring could look like

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Stock and replenishment

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03

What makes a comparison useful

Approved references and conditions of use are part of the requirement. Catalogues need to retain the attributes, batches and documents specialists use to accept products. A commercial suggestion is not specialist approval. When proposing a transfer or alternative, authorized reviewers need access to the information supporting compatibility.

Purchasing can work from aggregated volumes and product information without exposing individual records to explain consumption or prepare orders. Use data proportionate to the task. Starting with one store or category allows teams to verify ownership, dates and stock quality before covering multiple facilities.

04

Bring the right data together

Reagents, grades, concentrations, batches, protocols, reservations and cold-chain costs.

First, check a few lines from end to end. Do references match across sources? Do amounts use the same unit and period? Are terms still valid? File imports can support this initial review. More automated connections follow once matching is understood and responsibilities are assigned.

Data freshness needs to stay visible. Old stock records, expired rate cards or unapproved documents can make a proposal unusable. Signal missing information and retain the last reliable state rather than presenting an apparently precise calculation based on incompatible inputs.

05

An example to explain the calculation

Take a deliberately simplified example on a comparable purchase line in this scope. For 1,500 units actually ordered, a €35 baseline price and €34 obtained price produce a €1,500 gross difference. If implementation adds €300, the net benefit is €1,200. These figures are fictional and do not estimate the result your organization should expect.

This checks the arithmetic, not the performance of the whole approach. Confirm the unit, period and purchased service, then retain invoices and additional costs. Explain volume reductions, removed services or different quality separately. Benefits only become realized after the corresponding transactions occur.

06

Measure what actually changed

Duplicate purchasing and expired reagent losses.

Agree the baseline before claiming a benefit. Define scope, eligible volumes, quality, time period and costs required to change the situation. An identified opportunity, an approved decision, an order and an invoiced result are separate steps. Tracking them independently prevents an estimate from becoming a promise.

Cash released from lower inventory and staff time saved create value, but are not automatically recurring cash savings of the same amount. If outcome-based fees are appropriate, agree their calculation base. Subscriptions or fixed fees may better suit risk prevention and avoided costs that are difficult to verify.

07

Conditions for a useful result

Names alone do not establish equivalence: grade, concentration, batch and protocol require laboratory review.

Approval should match the consequence of the decision. A different pack size does not require the same review as a new critical reference. Teams need access to the explanation, documents and person who accepted the change. This traceability also supports disputes and rule corrections without removing history.

08

Start with a real case

Choose a category, site or contract where the problem can be observed. Gather sample orders, applicable terms and available outcome evidence. The first exercise should cover the whole chain: data, proposal, approval, action and measurement.

Then compare processing time, matching quality and verifiable results. Errors and rejected proposals matter as much as gains: they reveal missing information or constraints. Expand once owners have a method they understand and can use routinely.