Guide to lab digitalization

What is lab sample management and logistics?

Sample management and logistics software keeps track of the physical material a lab works with: samples, compounds, reagents and the containers that hold them. It also manages how that material moves, from storage to the bench, from one plate to another, and from one site to the next.

In the lab informatics landscape, it answers a question that LIMS, ELN and lab execution systems all depend on but are rarely designed to answer: what material do we have, where is it, and how do we get the right amount, in the right format, to the right place?

Compare the landscape How to choose a sample platform

The problem

Why material is the blind spot in many labs

Many labs have digitized results and documentation but still run sample operations on spreadsheets, freezer logs and the knowledge of a few experienced people. The same problems keep coming back.

Inventory drift

Recorded volumes, concentrations and locations diverge from what is actually in the freezer or store.

Unstructured requests

Orders for samples or plates arrive by email or ticket and have to be interpreted by hand.

Fulfillment by expertise

Choosing sources and calculating transfers, dilutions and plate layouts depend on a few experts or on rigid templates.

Fragile plans

When a source runs short, an instrument goes down or priorities shift, plans are rebuilt manually.

Distributed material

With several sites, CROs and storage partners, it is hard to know who holds what. Shipments are tracked apart from the containers they carry.

Manual hand-offs to automation

Worklists and labels are written or edited by hand, which adds delay and transcription errors.

The solution

Treat material as managed data

A sample management and logistics system treats material as structured, continuously updated data, and connects inventory, requests and fulfillment.

One record per container

Identity, contents, amount, concentration, location, state and history, kept current as work happens.

Structured requests

What is needed, in which amount, concentration and format, by when and for where, captured as data instead of free text.

Rule-based fulfillment

Sources, transfers and layouts are derived from current stock, equipment capabilities and the lab's own rules, then turned into instructions for operators and automation.

Unbroken traceability

Every transfer and shipment is recorded, from storage through each intermediate step to the final deliverable.

Capabilities

Core capabilities of sample management and logistics software

Most sample management and logistics platforms combine the following capabilities.

Inventory and storage

Container-level tracking across storage hierarchies, from site and freezer down to shelf, drawer, rack or box, and position, with barcode or RFID scanning.

Sample state and lineage

Parent and child relationships across aliquots, dilutions, pools and plates, so every derived container traces back to its origin.

Request management

Structured capture of material, amount, concentration, format, deadline and destination.

Fulfillment planning

Source selection, transfer and dilution calculations, intermediate containers and plate layouts.

Labels and worklists

Labels, picking lists and device-specific instructions for liquid handlers, dispensers and automated stores.

Logistics and shipment tracking

Shipments linked to the containers they carry and tracked from dispatch to receipt across sites and partners.

Re-planning

Plans adjust when stock, equipment availability or priorities change.

Integration

APIs and connectors to LIMS, ELN, sample or compound registration, automation software and instruments.

Storage hierarchy: site, room, freezer, shelf, drawer, then a rack or a box, down to the position of a single barcoded container

Comparison

Sample management vs LIMS vs ELN vs LES

These systems are often used together, but each answers a different question. Knowing which question you need answered helps you choose the right system for the right problem.

LIMS

Primary focus: tests and results

A Laboratory Information Management System manages samples as records, assigns tests and stores analytical results.

Sample registration and test assignment
Result management and specifications
Reporting and certificates

ELN

Primary focus: experiment documentation

An Electronic Lab Notebook is where scientists record intent, observations and conclusions.

Experiment notes and protocols
Collaboration and sharing
Research data and IP protection

LES

Primary focus: execution at the bench

A Lab Execution System guides people through procedures and captures instrument data as the work happens. What is an LES?

Guided workflows and digital SOPs
Instrument connectivity
Audit trail and review by exception

Sample management

Primary focus: the material itself

Sample management and logistics software tracks what exists, where it is and how much is left, and turns requests into deliverables.

Inventory, storage and lineage
Requests and fulfillment planning
Worklists, labels and shipments

Criterion	LIMS	ELN	LES	Sample management & logistics
Core question	What was tested, and does it pass?	What did we do and learn?	How is this procedure carried out, step by step?	What material do we have, and how do we fulfill this request?
Main users	Lab managers, QC and QA	Research scientists	Analysts and technicians at the bench	Sample and compound management, automation teams, CRO operations
Unit of work	Sample, test and result	Experiment and project	Individual step, action and reading	Container, request and shipment
Inventory depth	Often basic	Minimal	Materials checked at the point of use	Container, volume and position level, often across sites
Planning	Fixed workflows	None	Configured procedures	Derived per request from stock, equipment and rules
Automation interface	Limited	None	Instrument connectivity	Worklists for liquid handlers, dispensers and automated stores
Main value	Oversight and reporting	Knowledge capture and collaboration	Right-first-time execution and data integrity	Material availability, throughput and traceable fulfillment

Note: The boundaries are blurring. Many LIMS include an inventory module, and some ELNs track reagents. A useful test is whether a system only records what happened to material, or can also plan what should happen next.

Architecture

Where sample operations sit in the lab software stack

Lab informatics can be pictured as four layers. Enterprise and scientific systems such as LIMS, ELN, registration and ERP sit at the top. The physical lab, with its instruments, liquid handlers, stores and freezers, sits at the bottom. Between them are two operational layers.

The sample operations layer decides what material is used and how it is prepared. The execution layer, often a lab execution system, guides how each procedure is carried out and captures the data. Requests and instructions flow down; status, results and inventory updates flow back up.

Four layers of lab informatics: enterprise and scientific systems, sample operations, execution, and the physical lab

Example: from request to assay-ready plate

A scientist requests an assay-ready plate for a set of compounds.
The sample system checks availability across local and partner inventories and selects source containers.
It plans dilutions, intermediate plates and the final layout, then generates labels and a liquid-handler worklist.
The run is executed on automation, with any operator steps guided by an LES. Status flows back.
Inventory is updated, and the plate is traceable to its sources and the original request. Results go to the LIMS or ELN.

Five steps from request to assay-ready plate: request, check availability, plan, execute, update and trace

Benefits

Benefits of sample management and logistics software

The payoff is largest where request volumes are high, material is shared and automation is in use.

Reliable availability

Teams know what exists and where before they commit to an experiment.

Higher throughput

Planning work shifts from people to rules, so the same team handles more requests.

Fewer errors

Barcode-checked transfers and generated worklists replace manual transcription.

Better use of automation

Liquid handlers and stores receive correct, consistent instructions.

Resilience

Plans adapt to shortages, outages and changing priorities instead of being rebuilt by hand.

Network visibility

One view of material across internal sites, CROs and storage partners.

Traceability

Traceability and data quality

An assay result is only as trustworthy as the material behind it. In many labs, sample lineage is the weak link in data that is otherwise well structured.

Lineage: every aliquot, dilution, pool and plate traces back to its source containers and the request that triggered it.
Attributable, timely records: each transfer, move and shipment is recorded by the user or system that performed it, when it happened.
Live inventory: volumes, concentrations and locations update as work is done, not reconciled afterwards.
Context for downstream systems: clean material records make LIMS, ELN and analytics data easier to interpret and reproduce.

How much traceability a lab needs depends on its context. Discovery and research labs mainly need reproducibility and efficiency; regulated environments add formal requirements on top.

Sample lineage: a source tube is split into aliquots, diluted into an intermediate plate and transferred to an assay-ready plate linked to a request

Use cases

Who uses sample management and logistics software?

It delivers the most value where material is shared, requests are frequent and formats are standardized.

Compound management and screening supply

Cherry-picking, replication, pooling and assay-ready plates for screening and discovery teams.

Assay preparation

Dilution series and plate layouts built from scientist requests.

Automated high-throughput labs

Worklists distributed across multiple liquid handlers, dispensers and automated stores.

CROs, CDMOs and compound suppliers

Varied customer orders fulfilled from one inventory and one set of lab capabilities.

Sample repositories

Long-term storage, retrieval and distribution of research material.

Distributed networks

One shared inventory across internal sites and outsourcing partners, with shipments tracked end to end.

Buyer's checklist

How to choose a sample management and logistics system

Use these questions to compare options and to plan implementation.

Inventory depth: Does it track at container, volume and position level? Across several sites?
Lineage: Are parent and child relationships kept through every transfer, dilution and pool?
Requests: Are requests captured as structured data, or as free text attached to a ticket?
Fulfillment: Does it calculate sources, transfers and layouts, or only record what operators decided?
Adaptability: Can it re-plan when stock, equipment or priorities change?
Automation: Does it produce native output for your liquid handlers, dispensers and stores?
Coexistence: Can it run alongside your LIMS, with a clear rule for which system holds the master record?
Scalability and cost: Can you start with one workflow and expand without re-implementing?

A pragmatic way to start

Pick one high-volume, high-friction workflow, such as cherry-picking or assay-ready plates.
Measure the baseline: setup time, hands-on time and error rate.
Run it on real inventory data, connected to one automation system.
Compare and extend to further request types, sites or partners.

FAQ

Frequently asked questions about sample management and logistics

What is sample management software?

Software that tracks samples and containers, including identity, amount, location, state and history. Many platforms also handle requests and fulfillment.

Is sample management the same as a LIMS?

No. A LIMS centers on tests and results. Sample management centers on the physical material. Many LIMS include basic inventory, but dedicated systems go deeper on storage, lineage, fulfillment and logistics.

Do I need a sample management system if I already have a LIMS?

It depends on volume and complexity. Labs with large inventories, frequent requests, automation or several sites usually outgrow LIMS inventory modules.

How does sample management relate to an LES?

Sample management decides what material is needed and how to prepare it. An LES guides how a procedure is executed and captures the data. The two meet at the bench and at the instrument.

What is sample logistics?

Moving material between locations, such as storage, bench, sites and partners, with each shipment linked to the containers it carries and tracked from dispatch to receipt.

Can sample management work with lab automation?

Yes. Mature systems generate worklists for liquid handlers, dispensers and automated stores, and record what the automation actually did.

How long does implementation take?

It depends on scope and data quality. Starting with one workflow and existing inventory data is usually the fastest route.