CognitOps makes warehouse optimization and labor planning easy.
Our cloud-native software injects intelligence and insight into your existing order and warehouse management systems with machine-learning powered analytics dashboards.
See real-time tracking against KPIs like labor productivity and efficiency, find out-of-balance trouble spots, predict workflow, and prevent order and picking pile-ups. And reduce labor costs.
Find out what our Fortune 500 clients already know.
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Warehouse Labor Optimization Results
Decrease Labor Dependence
& Reduce Costs
0 – 0%
Increase Throughput
& Cycle Time
0 – 0%
Improve SLA
Attainment
0 – 0%
AI-Powered Warehouse Labor Planning
- Increased labor visibility for warehouse leaders
- Proactive labor allocation and optimization
- Improved SLAs including reduced labor costs.
All by layering machine-learning based predictive analytics on top of your existing WMS.
Industry Leaders Rely on CognitOps
The CognitOps Platform
CognitOps ALIGN senses the condition of your entire warehouse in real-time to automate operational decisions around labor, inventory, demand, and equipment. Discover ALIGN →
CognitOps ALIGN helps leaders flow, balance, and manage operations holistically, fully understanding and optimizing the state of your building in real-time.
Our cloud-based platform provide both the advanced decision making guidance for your warehouse optimizing the productivity of your workforce.
• Data Extraction: Connect to any warehouse system and extract data without new integrations.
• Operational Memory: Leverage machine learning to determine course corrections for your operation in real-time.
• Applications: Engage with applications that serve a purpose. Manage, execute, and benchmark with the same context.
• Universal UX: Provide a central lens of information to your executive, operational, IT, and engineering teams.
Latest Warehouse Optimization Resources
Most warehouse managers confuse labor tracking with task tracking—a costly mistake when labor represents 50–70%…
Labor Management Systems and Workforce Management Systems are often confused as interchangeable solutions, but they…
Most distribution centers make daily staffing decisions based on spreadsheets and gut instinct, leaving labor…
Get more warehouse optimization and labor planning customer success stories, helpful blogs, eBooks and videos
Optimize Warehouse Labor with:
- Increased visibility for warehouse leaders
- Proactive labor allocation
- Improved SLAs
All by layering machine-learning based predictive analytics on top of your existing WMS.
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Frequently Asked Questions
What’s the difference between labor planning and workforce management?
Labor planning is about matching the work to the workers — figuring out how many people you need, when you need them, and what they should be doing based on the volume coming in. Workforce management is broader and usually includes scheduling, time and attendance, and HR functions. In a warehouse context, most teams actually need both: a system that can forecast labor demand based on order volume, and one that helps supervisors execute against that plan in real time. What matters is whether you have the ability to look at tomorrow’s inbound receipts and today’s staffing and know — before the shift starts — whether you’re over or under.
What’s the difference between an LMS and a WMS? Do I need both?
Your WMS (Warehouse Management System) tracks inventory — where it is, how it moves, what orders are open. Your LMS (Labor Management System) tracks people — how they’re spending their time, whether they’re hitting standards, and where your labor dollars are actually going. Most WMS platforms have a basic labor module, but it’s usually limited to logging task completions. A dedicated LMS goes deeper: it measures labor efficiency against engineered standards, surfaces variance by employee, supervisor, and shift, and connects labor cost to actual output. Above 50 employees, the labor variance you’re ignoring is probably costing more than the software would. The 80/20 rule applies: most DCs that implement an LMS find 3–5% of their labor spend was invisible until they looked.
How do you handle labor planning when volume fluctuates 30–40% week to week?
This is the most common pain point in warehouse operations, and the honest answer is that most DCs handle it poorly — they either overstaff to avoid a bad day or understaff and scramble. The right approach is to build your labor plan from volume signals, not from last week’s headcount. That means connecting your order management or forecasting system to your staffing model so that when volume goes up 35%, your labor requirement adjusts automatically. You also want to build in a flex labor buffer — typically 15–25% of headcount as temp or on-call — so you have levers to pull when the plan changes. Knowing on Thursday that Monday is going to be heavy gives you the weekend to staff it correctly.
Is 50% annual turnover normal for a distribution center?
Unfortunately, yes — 40–60% annual turnover is common in warehouse operations, especially for hourly roles in pick/pack. But “normal” doesn’t mean acceptable, and the cost is higher than most operators realize. When you factor in recruiting, onboarding, training time, and the productivity gap during ramp-up, a single associate turnover event typically costs $3,000–$7,000 depending on role complexity. For a 200-person DC with 50% turnover, that’s somewhere between $300,000 and $700,000 per year in invisible labor cost — before you even count the quality issues that come with constantly training new people. The DCs that push turnover below 30% usually have visibility into performance at the individual level, and consistency in how supervisors treat the team.
How much should warehouse labor cost as a percentage of total operating costs?
Labor typically represents 50–70% of total warehouse operating costs. For a mid-size pick/pack operation, a realistic benchmark is $18–$28 per order shipped, though this varies significantly by order profile, automation level, and geography. The more useful number to track is labor cost per unit — because that ties directly to your pricing model and margin. High-performing DCs are generally running 10–15% lower labor cost per unit than average, and the difference usually comes from better labor utilization (fewer idle hours) rather than paying people less.
