5
min read

The equipment scheduling blind spot most R&D teams miss

Most labs rely on spreadsheets or calendars for equipment scheduling, but this breaks down as teams scale.

Will Patrick
Head of Marketing
Will Patrick
Head of Marketing

Many labs rely on improvised scheduling setups built from calendars, spreadsheets, or other homegrown integrations to manage who uses what equipment in any given lab. While this usually works to begin with, it becomes a huge headache to manage when teams grow, labs move or merge, or when anyone wants accurate usage data.

It also leaves labs with poor visibility of available equipment, lower utilisation, and painful experiment planning. What makes it worse is that, outside of lab management/LabOps, this is often brushed off as a local, tactical fact of life.

But it isn’t: what happens in a single lab compounds across entire buildings, sites, and organisations leaving millions in lost hours and wasted CapEx on the table.

The ripple effects of poor equipment scheduling

Labs typically face the same set of challenges, regardless of maturity or size:

  • Underutilised capital assets (i.e. lab equipment)
  • Limited visibility into usage trends and resource allocation
  • Procurement and budgeting decisions based on incomplete data

These issues compound over time, especially as the lab estate grows or develops. Senior leaders eventually feel the impact on pipeline progression, asset ROI, and site-level performance metrics.

Why does this problem happen in the first place?

From our experience, this happens because it is typically only seen as something for individual lab managers to worry about. (And there aren’t always dedicated lab managers, even in some enterprise organisations.)

There’s four reasons why this happens:

  1. The scale of the problem (and potential improvement) aren’t truly visible until implementation of a mature scheduling system in the first place
  2. Pain points often written off as “a fact of life” in the lab
  3. Previous digitalisation efforts elsewhere have taken precedence before now
  4. Lab operations and lab management are either overworked, or specialised with no clear ownership assigned for scheduling/booking specifically

However, when more management recognises this is a tractable problem and that there is potentially significant benefit in fixing it, they move quickly.

This is something we’ve now seen in mulitple enterprise organisations.

We've written about this in more detail in this downloadable white paper.

What the numbers show

Industry benchmarks consistently reveal a similar picture:

  • Average equipment utilisation in pharma: around 35%
  • Typical potential with better scheduling and coordination: 50%+
  • McKinsey estimates up to 70% of global lab capacity could be unlocked with improved scheduling alone

The gap between current performance and potential performance is large, and the root causes are well understood.

Data from Calira customers proves this. Once Calira is deployed, we see year over year improvement in utilisation at an average of 15% improvement. 

Year over year improvement when using a mature lab equipment scheduling system.

Introducing a control layer for lab operations

Calira provides a purpose-built scheduling and equipment management platform that works alongside your existing lab systems. Rather than replacing tools, it connects them.

Teams use the platform to:

  • Centralise visibility across instruments, sites, and teams
  • Surface usage data that guides CapEx decisions and ROI tracking
  • Integrate cleanly with ELNs, LIMS, and existing enterprise infrastructure

Most groups are fully operational within a week, with minimal change to existing workflows.

Who benefits across the organisation?

A shared, central equipment scheduling layer delivers value, both at the bench and far beyond:

  • Business unit directors and executive sponsors: clearer ROI, stronger governance, better CapEx justification
  • Lab operations leads: control over scheduling, reduced booking conflicts, and sharper insight into usage patterns
  • Scientists: easier experiment planning, greater confidence in equipment availability
  • IT and data teams: lower integration and maintenance overhead
  • Finance teams: reliable data to inform budgets and future investment decisions

We’ve published a white paper covering this topic

Improving scheduling can look like a tactical fix. But the cost of not addressing it accumulates quickly. A central, reliable scheduling layer strengthens throughput, removes avoidable delays, and increases the return on every piece of lab equipment.

We’ve published a white paper that goes into this data in more detail. You can find it here.

Back
->