Most warehouses rely on Units Per Hour (UPH) to measure productivity. But while UPH can flag that something’s off, it rarely reveals why. Is it how tasks are assigned? Where inventory is slotted? Or how workers move across the floor? Without deeper insight, teams end up treating symptoms instead of solving root causes.
That’s starting to shift. AI-powered tools are pushing warehouse performance from reactive to proactive. inVia Logic WES doesn’t just give you more data—it interprets it. It links tasks, movements, and outcomes to uncover the patterns behind performance. And it turns those insights into clear, immediate actions.
How Intelligent Software Finds What UPH Misses
.Traditional metrics tell you something’s wrong. AI-powered inVia Logic tells you why.
- First, inVia Logic collects thousands of data points for each associate, each day. Every scan, pick, and movement is tracked, down to the millisecond.
- Then, it builds a baseline of how your operation runs. AI builds a profile of each worker’s performance and compares it across peers to understand what’s typical.
- It finds the root cause. Instead of just seeing that UPH dropped, AI flags subtle inefficiencies and anomalies. Managers don’t need to wade through mountains of data manually; they get a clear view of what’s working, what isn’t, and why
- It models improvements before you commit. Simulations test changes virtually, so teams can make smarter decisions with minimal disruption.
inVia Logic Business Intelligence Dashboard
Turning Warehouse Data Into Decisions That Matter
1. Spotting Hidden Inefficiencies in Patterns and Outliers
Optimizing warehouse performance starts with capturing data, understanding patterns, and identifying outliers. Workers use the inVia PickMate productivity app to guide their tasks. As workers scan and complete picks, inVia Logic WES captures thousands of data points per person each day: what they’re picking, where it’s located, how long each task takes, how far they walk, and even how long they spend on each screen in the app. When something’s off—like the time it takes workers to grab and scan certain SKUs—AI flags the anomaly. It then guides managers straight to the source, whether it’s item accessibility, poor slotting, or packaging challenges.
These are the performance patterns UPH can’t catch. But AI zeroes in on the abnormal data pattern and guides the team to the specific SKUs or activity causing delays.
inVia Logic collects thousands of data points each day, then identifies patterns and outliers.
2. Fixing Inefficiencies Without Guesswork
Once a problem is identified, Twin IQ intelligent simulations make it easy to explore the most effective solutions. Our 3D warehouse modeling tools model workflows and inventory placement based on SKU velocity, pick heights, aisle congestion, and proximity to pick paths, so it’s easy to identify the best improvements.
Instead of relying on costly trial-and-error or outside consultants, Twin IQ helps teams model smarter ways of working using real performance data. Whether it’s improving pick paths, reducing congestion, or repositioning inventory, teams can see the impact of each change before making it live.
Twin IQ uses real-world data to model different strategies for resolving inneficincies.
3. Continuous Feedback That Drives Constant Improvement
Because data is captured in real time, every change is instantly measured. inVia Logic doesn’t just identify problems. It tracks the impact of each adjustment as it happens, guiding teams toward smarter decisions day after day.
As teams optimize workflows or reposition SKUs, the system continuously measures whether those changes are making a positive impact on the warehouse floor. If performance improves, that’s confirmed in the data. If it declines, the system flags it immediately so teams can course-correct.
This real-time feedback loop turns improvement into an ongoing process, not a one-time initiative.
Summary: Rethinking How Warehouses Improve
Traditional metrics can show you that performance is lagging, but they rarely explain why. And without understanding the root cause, it’s difficult to make changes that truly stick.
AI-powered inVia Logic shifts that dynamic. By translating raw warehouse activity into real-time insight, it enables teams to see clearly, test confidently, and improve continuously. Optimization becomes an everyday process, grounded in data, not guesswork.
For warehouses facing increasing complexity, this kind of intelligence is becoming essential to stay competitive.
Want to see how AI can improve your warehouse?
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