Warehouse Intelligence Platform

FlowOps

Operational intelligence for warehouse productivity

FlowOps is a two-tool system that transforms raw warehouse data into actionable performance insights — from data preparation all the way to productivity analysis and operational gap tracking.

Platform Tools

Two tools. One seamless workflow.

Each tool handles a distinct stage of your data pipeline, working together end-to-end.

FlowOps PrepStep 1

Cleans and prepares raw productivity, work assignment, and UKG data — transforming messy source files into a structured, analysis-ready dataset.

  • Ingests raw productivity & work assignment files
  • Processes and normalizes UKG data exports
  • Outputs a clean, standardized dataset
Open FlowOps Prep
FlowOps DashboardStep 2

Analyzes performance, productivity, work function trends, and A3 gap tracking — delivering clear operational visibility across your warehouse.

  • Performance & productivity analysis
  • Work function trend reporting
  • A3 operational gap tracking
Open FlowOps Dashboard
Workflow

How It Works

Three simple steps from raw data to actionable warehouse insights.

1

Upload Raw Files

Upload your raw productivity, work assignment, and UKG files directly into FlowOps Prep.

2

Download Cleaned Dataset

FlowOps Prep processes and normalizes your data. Download the clean, structured output file.

3

Analyze in the Dashboard

Upload the cleaned file into FlowOps Dashboard to explore performance trends and gap reports.

Before You Upload

File Preparation Instructions

Please prepare files exactly as described below before uploading to FlowOps.

Instruction 1

Match the Correct Files

  • Always match the correct UKG file with the correct Productivity and Who Did What files.
  • The files must represent the same actual work day or the same workweek.
  • Do not mix dates from different days or weeks.
  • If the files do not match, the output will be inaccurate.
Instruction 2Critical Requirement

Productivity File — Date Column Required

  • Each Productivity file must include a column named Date.
  • This Date column must represent the actual work date for that file.
  • This column is required for FlowOps Prep to process the data correctly.

Example: If the file is for Apr 11, 2026, the Date column should contain 4/11/2026.

Instruction 3Required Naming

UKG File — Naming Format

The Kronos / UKG file must be renamed using this exact format before uploading:

Required Format

UKG_year-month-day

Example

UKG_2026-04-11

This naming format is required so FlowOps can correctly identify and read the UKG file.

Instruction 4Required Cleanup

UKG File — Cleanup Before Upload

Before uploading the UKG file, complete the following cleanup steps:

  • Remove the extra header information at the top of the export.
  • Keep only the actual employee hours data table.
  • Convert the remaining data into a proper table format.

Column rename required: Rename the column OT Time to OT Hours before uploading. This is required for the file to be processed correctly.

Pre-Upload Checklist

Before Uploading — Confirm All Items

  • 1
    Correct UKG file matched to the same date or workweek as the other files.
  • 2
    Productivity file includes a Date column with the actual work date.
  • 3
    UKG file renamed correctly — e.g., UKG_2026-04-11.
  • 4
    UKG file cleaned: extra headers removed and data formatted as a proper table.
  • 5
    Column OT Time renamed to OT Hours.

Ready to get started?

Launch either tool and start turning raw warehouse data into operational clarity.