DECISION INTELLIGENCE · WAREHOUSING · 3PL · MANUFACTURING
Predien delivers the analytical infrastructure mid-market companies need: your existing data, connected and turned into decision-ready answers, without a new system to implement.
Which accounts are eroding margin this month?Ranked by margin, live
What's labor actually costing per unit?$1.42, against your $1.30 threshold
Where are billing gaps opening up?Three gaps caught before invoicing

Predien the platform, plus the forward deployed analyst
Built for operators and executives carrying $10M to $500M in revenue.
The business scaled. Operations scaled with it. But the analytical infrastructure to see the operation in real time never got built. It was never anyone's job to build it, and it would not have been a two-week project if it were.
Specialists hold pieces. Payroll knows labor. Operations knows throughput. Finance knows the P&L. Nobody holds the view that connects them before the quarter closes. Decisions get made on the best available number, which is usually a spreadsheet someone updated last Tuesday.
Skip the Wait: Start on Day One with Predien
Every time we hire a data analyst, we go through the same cycle: job description, search, weeks of onboarding, and learning. A year later, all their knowledge, reports and processes live only in their heads. If they exit, we lose that knowledge overnight.
Buying a reporting tool just gets you an empty shell. The real work is deciding what to track, building the reports, and keeping them up to date, which falls on someone inside your business who's already stretched thin.
They're familiar and free. Formulas break, only one person understands how it all works, and there's no way to trace how any number was calculated.
All three paths leave the same thing missing: a working model of the operation, run by someone qualified, today. Predien installs that missing infrastructure. No hire to make. No ramp period. No implementation project touching the operation.
Watch the Demo
The output is what matters: a decision, tested on the operator's own data before it is committed. Recorded with its reasoning. Monitored after it plays out.
The model starts where the operation lives: labor, throughput, billing, cost to serve. It carries forward to financial consequence, general ledger included.
Exported Tuesday. Edited Thursday. Emailed twice.
ERP. WMS. Workforce management. Billing. All read. None changed. One model, built in the categories the operation already uses. No new system for the team to learn. No middleware to maintain. The first week of data is already structured without the operation changing a single workflow.

Re: can you pull the overtime numbers?
By Thursday if possible. Want to sanity-check peak staffing before the schedule goes out.
Twenty to thirty flags surface each week. The analyst publishes five to seven worth acting on, each with a dollar estimate and a path forward. The rest are noise, filtered before they reach the executive. A cost-per-unit threshold breach at one location. An overtime pattern forming across shifts. A billing gap between work completed and invoices sent. Each flag carries enough context to act on or dismiss without a meeting to decode it.

WH2 peak. Overtime again, or temps?
Feels like temps this year. Ask around for what we did in 2024.
Labor cost per unit is climbing at one location. Hold the current shift structure and absorb the cost, or restructure and bring the number down. Both paths modeled on the same data, side by side. The executive picks one, and the reasoning goes on the record. Six months later, someone asks why the shift structure changed. The answer is in the model.

The operation runs exactly as it did the day before Predien arrived. Its consequences become visible.
The forward deployed analyst settled the definitions
Labor Summary, July last edited 11 days ago
| Area | Heads | Hours | Cost |
|---|---|---|---|
| Receiving | 24 | 3,840 | $142,080 |
| Pick lines | 41 | 6,560 | $242,720 |
| Pack | 33 | 5,280 | $195,360 |
| Returns | 12 | 1,920 | $71,040 |
| Dock | 18 | 2,880 | $106,560 |
| Overtime, 1.5x | 2,140 | $118,770 | |
| Agency temps, invoiced | $257,000 | ||
| Taxes and benefits | $316,470 | ||
| Total | 128 | $1,450,000 |
Source A · payroll
Labor cost per unit · Warehouse 2
threshold, set on this tenant
live, from your loaded history
Pivot
Set the sliders to match the operation: revenue, labor spend, number of locations. The model computes a projected range using the same method the Sprint uses. Actual results depend on the business and the data behind it.
At the revenue you entered, labor is 20.1% of it. Modeled from your inputs. Your real model is built on your loaded history and your own definitions, and it is more exact than this.
Nothing you type is stored.
Each of these decisions has a number behind it. Predien models the number on the operator's own data so the decision gets tested before the commitment is made.



The Sprint begins with the decision the operator is weighing right now. A forward deployed analyst configures on a slice of the operation's own data and works it for four weeks.

The same analyst carries forward. Nothing gets rebuilt. Nobody gets briefed twice.
Tell us the decision. An analyst reviews it and comes back within one business day with how Predien would approach it and what the Sprint would cover.
Email one line: the decision you are weighing.
Warehousing and 3PL. Manufacturing. Multi-site or multi-entity operations where the data exists across systems and no one holds the whole picture.