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Your PEP reports are the head start.

Every PEP Project produces a full set of standard reports automatically. They are the best place to begin asking questions, because they already reflect years of consulting about what managers need to know.

Complete detail, from each employee to the whole facility.

PEP’s standard reports have a fixed format and carry every level of detail. They can be regrouped by supervisory level, and regrouped again when the organization changes.

Because the reports hold all the details and totals, AI can pull out exactly the data you need to take action right away.

The PEP cube pyramid: grey cubes stacked in rising tiers, with the white PEP cube at the base, representing detail building up from each employee to the whole facility.

A year of history shows what a single report can’t.

PEP reports usually hold a full year of history. AI can use that history to track trends and draw conclusions that weren’t easy to see in the standard reports.

110 100 90 80 Week 1Week 26Week 52 Weekly Productivity Index, one department Trend flagged by AIDown about 7 points since week 30

Illustrative data. A single weekly report would show a small dip. A year of history shows a steady slide worth investigating.

Ask in plain language. Get an answer you can act on.

With the data already organized the way managers think, questions become simple to ask. Here is the kind of answer an AI model can give from a single week’s PEP data.

Example: an AI model querying PEPALL.DB
Why was picking productivity low on Wednesday?
AI modelWednesday had the week’s lowest volume, 15,480 pieces, and the Productivity Index fell to 80.3. Staff was cut to 9.0 FTEs, but not far enough for that volume.Agency workers were still 11% of the staff, and no hours were loaned to other areas. Next time a light day is forecast, consider loaning hours out, releasing agency staff first, or using the time for reserve consolidation.
Illustrative. Figures from a sample PEP Daily Flash for an actual picking operation.
More questions PEP data can answer
  • Are there any supervisors who are not maintaining the integrity of the PEP database?
  • Is our work getting harder, or are we getting slower?
  • Are our agency workers worth what we pay for them?
  • Are “Other hours” (unmeasured work) out of control, and if so, where?

Years of consulting are built into the PEP reports. AI lets you get more out of every one of those years.

Integrating a PEP Project with AI is the best path to better labor management: a database designed for operations, kept accurate, and reported in a form every level of management can use.