Floor Activity Tracked On Paper
Picking productivity, throughput and receiving time were logged manually or in disconnected spreadsheets, with no consolidated daily view.
Picking productivity, order throughput, labor performance, receiving time and warehouse capacity are usually tracked through disconnected paper logs and spreadsheets, leaving managers guessing at floor performance. We built a greenfield MVP that brings these warehouse-operations signals into one analytics platform, giving managers a clear read on how the floor is actually performing.
A warehouse runs on picking speed, order throughput, labor allocation, receiving time and available capacity. When these are tracked through paper logs and disconnected spreadsheets, managers only find out about a slowdown once orders start falling behind.
The Warehouse Productivity Analytics Platform brings picking productivity, order throughput, labor performance, receiving time and warehouse capacity into one analytics view, so warehouse managers can see floor performance clearly and act before backlogs build up.
Picking productivity, throughput and receiving time were logged manually or in disconnected spreadsheets, with no consolidated daily view.
Without a unified view, managers struggled to match labor allocation to expected order volume and available warehouse capacity.
There was no prior warehouse-analytics tool — the platform needed to be designed and built from scratch around real floor operations.
A warehouse-operations analytics platform centered on the metrics that keep the floor running on schedule.
Supervisors can see picking speed and accuracy trends, helping them identify slowdowns before they affect order timelines.
Managers can monitor how many orders move through the warehouse each shift, supporting realistic capacity planning.
Teams can see labor performance by shift and area, supporting fairer scheduling and workload balancing decisions.
Managers can track how quickly inbound goods are processed, reducing bottlenecks before they reach the picking floor.
Leaders can see current capacity utilization, helping them plan ahead of peak volume periods.
All warehouse-operations metrics are summarized in one dashboard, giving managers a single place to check daily floor health.
We studied how picking, throughput, labor, receiving and capacity actually play out across a warehouse shift.
We defined which warehouse metrics mattered most for a first release that supervisors would actually use.
We shaped dashboard views around how managers monitor performance during and between shifts.
Our engineers built the analytics platform, validating each metric against realistic warehouse-floor scenarios.
The MVP was prepared for real-world use, giving warehouse managers a working productivity view from day one.
Warehouse performance only improves once the floor's real activity is visible, not just assumed from the schedule.
Picking, throughput, labor, receiving and capacity data were structured into one consistent model for warehouse analysis.
Reporting logic was built around shift and area breakdowns, matching how warehouse teams actually plan work.
Capacity utilization reporting was designed to support planning ahead of expected volume changes.
The warehouse data model was structured so new floor metrics can be added as operations scale.
× Picking productivity logged manually
× No consolidated throughput or receiving view
× Labor and capacity planning done by guesswork
× No existing platform to build on
✓ Greenfield MVP launched from concept
✓ Picking, throughput and labor data unified
✓ Receiving time and capacity visible together
✓ Foundation ready for continued product growth
Walk the floor. Prioritize what matters. Launch a view supervisors will actually check.
There was no existing dashboard to inherit — only manual logs and disconnected spreadsheets across picking, receiving and labor. The MVP was designed and built from the ground up to give warehouse managers a working, daily view of floor performance.
"A warehouse floor cannot be optimized from a spreadsheet updated once a week. Build a productivity view that reflects the shift as it happens, and planning becomes proactive instead of reactive.
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If picking, throughput, labor and receiving performance are tracked on paper or in scattered spreadsheets, MVPHUB can help you design and build a greenfield productivity analytics MVP for your floor teams.
AI-accelerated. Expert-verified. Built around the outcome your first release needs to prove.