The Question to Answer Before You Evaluate Automation
'How many seconds does a single pick actually take in our facility?' Very few distribution centers can answer that in seconds. Most only have aggregate figures: how many orders were processed in a day.
The problem is that labor accounts for 50-65% of distribution center operating costs. Equipment investment and rent have exact numbers written into contracts, but the single largest cost line runs untracked. As a result, the floor-level diagnosis of 'we are short-staffed' frequently turns out to be 'work is poorly distributed.' When engineered standards are actually calculated, direct work (picking, packing, put-away) often accounts for only 55-70% of paid hours, with the remainder consumed by waiting, travel, and rework — indirect time.
What a Labor Management System Actually Does
An LMS does not generate new data. It re-reads the work logs already sitting in your WMS, this time organized around people.
Breaking out indirect time as its own line item is the critical step. Without it, the target of every improvement effort defaults to 'walk faster.'
How Engineered Standards Are Built
There are three broad approaches.
For small and mid-sized centers, starting with the third approach is the realistic path. Six months of transaction history is enough to plot duration distributions by task type, and adjusting for travel distance using location coordinates produces a first-generation standard that is genuinely usable on the floor.
One principle is non-negotiable. The moment engineered standards are perceived as a tool for squeezing people, the project fails. In the early phase, avoid publishing individual rankings and start instead with analysis by task type, time block, and location. Data only stays honest once the floor accepts that the object of measurement is the process, not the person.
What Comes After Measurement: Planning and Allocation
Once standards exist, real planning becomes possible.
Using the Data to Justify Automation Investment
The most common failure in AMR or goods-to-person evaluations is that the denominator of the ROI calculation is a guess. If you do not know your current labor cost per pick, you cannot know the savings either. With engineered standards in hand, you can make concrete arguments: travel accounts for 60% of total pick time, so a GTP system that eliminates travel removes roughly 25 seconds per line.
Human work also remains after automation. Exception handling, inspection, and non-conveyable freight still belong to people, and in hybrid operations the synchronization of waiting time between workers and equipment becomes a new productivity variable of its own.
How POLYGLOTSOFT Implements It
POLYGLOTSOFT does not replace your existing WMS. We take work logs from the system already in production and begin with a performance dashboard, in stages: first visibility into current conditions, then statistically derived engineered standards, then integration with workforce planning.
Engineered standards are not a value you set once and forget. They drift with seasonal volume, new SKUs, and layout changes. With a subscription development model, monthly recalibration and feature expansion continue over time, so what you keep is a living operational metric rather than a one-off consulting report. If you want to manage warehouse labor cost with data instead of instinct, contact [POLYGLOTSOFT](https://polyglotsoft.dev).