What is the actual difference?
A remote warehouse audit works from eight to fifty-two weeks of your own shipment and labor records; an on-site audit works from two to five days of observation and interviews; each catches things the other cannot, and the honest answer to "which is better" is "which questions are you trying to answer". Consultancies that sell site visits describe two to five days on site followed by two to three weeks of analysis (KPI Solutions) or four to six weeks for a single-site assessment (Waller Consulting). DC Health Check works the other way round: the data first, the building second, and a visit only if a specific question needs one.
Below is the comparison we would want to read if we were buying. It concedes the visit's advantages in full, because a remote auditor who pretends the floor does not matter has never run one.
What does a site visit catch that exports cannot?
- Housekeeping and congestion. Pallets in aisles, staging that has become storage, a pack line that backs up at 2 p.m. every day. The export shows the symptom (lower pick rate in the afternoon); the eye shows the cause in a minute.
- Equipment condition and layout reality. Dead conveyor rollers, a slow printer that gates the pack station, a mezzanine nobody uses, a dock door that is always blocked. None of that has a field in the WMS.
- Process deviations. The workaround that a lead invented in March and that the system does not know about: the extra label, the re-count, the second scan. Interviews surface it; transaction logs only hint at it.
- Attention and morale. Whether the shift start is crisp or drifts, whether supervisors are on the floor or in the office, whether people know the day's plan. A visit reads this in an hour.
- Safety. Rack damage, pedestrian routes, charging areas, blocked exits. Not the subject of a productivity audit, but a visitor sees it and should say so.
What do exports catch that a visit cannot?
- Seasonality and trend. Whether September's cost per order is normal for September or a real change. A visit sees one week; a year of weeks has a shape.
- Shift-level and day-level variance. Which shift, which weekday, which hour carries the variance in units per paid hour, and whether it is volume, staffing or mix. A visit can watch two shifts; the data has hundreds.
- Overtime patterns. Whether overtime follows volume, follows absence, or follows the calendar. This is a fifty-two-week question.
- Record quality. Duplicate order rows, orders with no promise date, receipts confirmed before they arrived, time zones that disagree. The building's reports have been built on these rows for months; nobody on a tour can see them.
- Backlog age and promise misses. Which orders were late, how late, and whether lateness clusters by customer, carrier cut-off or day. The open-order snapshot answers this exactly.
- The good-day bias. A scheduled visit sees a prepared building. Nobody cleans up for a CSV.
Side by side
| Dimension | Remote (from exports) | On-site (visit and interviews) |
|---|---|---|
| Evidence | Every completed order and paid hour in the period; reproducible calculations | Direct observation, interviews, spot measurements; the auditor's judgment |
| Sample size | Eight to fifty-two weeks of records | Two to five days of what happened while the auditor watched |
| Elapsed time | About 20 business days from accepted data (DC Health Check) | Two to five days on site plus two to three weeks of analysis (KPI Solutions); four to six weeks per site (Waller) |
| Disruption | None on the floor; a few hours of a manager's time answering definition questions | Supervisors and leads interviewed; a visitor on the floor for several days |
| Cost structure | Fixed fee ($4,500 here); no travel | Consultant days plus travel plus analysis days at the firm's day rate; fees generally not published |
| Blind spots | Congestion, equipment, layout, deviations, morale, safety | Trend, seasonality, shift variance, overtime pattern, record quality, the good-day bias |
| Best for | Cost per order, productivity, on-time, overtime, backlog, 3PL invoice checks, capacity for peak | Layout redesign, automation feasibility, safety, culture, process re-engineering with the team |
| Output | Report, calculation workbook, definitions sheet, ranked actions | Report and presentation; sometimes a design or implementation proposal |
When to choose which
Choose remote first when the decision is about numbers: whether labor cost per order really rose, whether to add a shift, whether a 3PL's invoices match its contract, whether the peak plan holds, whether overtime is structural. These are questions the records answer better than the eye, and the fee is a fraction of a visit.
Choose a visit when the decision is about the physical building: a re-layout, a racking or automation project, a safety concern, a team that needs to be worked with rather than measured. A good visit here is worth its travel bill.
Do both, in that order, when the stakes are high. The remote audit tells the visitor exactly which hour, which zone and which process to stand in, so the days on site are spent on the right questions instead of on discovery.
How DC Health Check handles the gap
- Ask for the floor in pictures. Two shift-change walks with a phone camera, sent with the exports, cover most of the housekeeping and congestion blind spot.
- Interview by email, on definitions. Every measure has a definition sheet; your answers about what a row means are the interview.
- Report what is not measured. Equipment condition, layout and morale appear in the report as not observed, never as an inference.
- Offer on-site days separately. If the findings point at the physical building, on-site days are a separate agreed scope with their own dates. They are not hidden in the fixed fee and not required for it.
Questions people ask
Can a remote audit tell if the floor is congested?
Only indirectly. Congestion shows up as travel time, pick rate variance by zone and by hour, and staging backlog at the end of shift; it does not show up as a photograph. If congestion is the question, a walk with a phone camera on two shift changes, sent with the exports, closes most of the gap.
Can an on-site audit tell if overtime is structural?
Not from the visit alone. Overtime that appears every Thursday in weeks with more than a given volume is a twelve-month pattern, and a three-day visit sees one Thursday. The labor export sees fifty-two.
Which one do you sell?
The remote audit, at a fixed $4,500. On-site days exist only by a separately agreed scope and are not part of that fee. We do not pretend the visit has no value; we price what we can deliver without travel.
What does a remote audit need from us that a visit does not?
Clean exports and a person who can answer definition questions by email within a day or two. The visit substitutes interviews for that; the remote audit substitutes reconciled data. Both need a decision owner at the end.
Start with the numbers.
The free Flow Snapshot reads one week of two exports and returns one page: what the data supports, what it does not, and the next checks. If a visit is what the question needs, the Snapshot will say so.
Request a free Flow Snapshot →One per business. No card, no purchase obligation. Data fit and a review slot agreed first.