Labor is the largest variable cost in your warehouse, and most operators already know that. What they don’t know is exactly what they get for all that investment.
Ask most warehouse leaders what their labor cost per order is. You’ll get one of two answers: a number they calculated months ago in a spreadsheet, or a shrug. Neither is a good place to run a business from.
This isn’t a knock on the people running these operations. It’s a knock on the tools they’ve been given. Traditional WMS platforms track transactions. They don’t track time. They don’t connect labor hours to order volume to process type to individual workers. Getting that picture has historically required a separate system, a consulting engagement, and months of setup before you learn a single thing about your own operation.
The Gap Is Bigger Than You Think
When you don’t know your cost per order, you can’t price contracts accurately. You can’t tell which clients, channels, or order types are profitable and which are subsidized by the ones that are. You can’t answer the CFO’s question about why labor costs went up 12% last quarter when volume only went up 8%.
You also can’t manage what you can’t see. If you don’t know that your multiline orders take 2.4x longer to process than your single-line orders, you’re staffing for an average that doesn’t exist. You’re paying for inefficiency you can’t locate.
The good news is that the data to answer these questions already exists inside your WMS. Every scan has a timestamp. Every order has a worker ID. Every process has a start and an end. The problem isn’t data availability, it’s data connection.
The average warehouse operator knows their total labor spend. Almost none of them know their labor cost per order, per unit, or per process. That’s the gap.
What Changes When You Can See It
When you have real-time labor cost at the order level, you can act on it immediately. And today, you don’t have to wait for a weekly report or build it yourself in a spreadsheet. AI has changed what’s possible here.
Felix, Deposco’s AI assistant, connects every thread of your labor data into a single model and surfaces the answers you need without requiring you to know which charts to pull. Ask “What is driving my labor cost increase this month?” and Felix traces it to the order type, the process, and in many cases the specific worker or shift where the gap is widest. That used to take an analyst a week to find. Now it takes seconds.
But AI doesn’t replace the need for visibility, it amplifies it. Felix is only as useful as the data it has to work with. Labor Intelligence provides that data: cost per order, efficiency by process, throughput by order type, utilization by worker, all of it connected and current.
Where to Start
Start with one question: what is my labor cost per order, by order type, right now?
If you can’t answer that in five minutes, you’re flying blind. And the longer you fly blind, the more it costs you. Costs from overstaffing, in mispriced contracts, in efficiency gaps that compound every shift.
The data is already there. You just need to turn it on.