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PROJECT 009 / 102 · Commerce

Within-product pricing consistency.

Which frequently sold codes exhibit the widest middle-range price differences?

Focused analytical studyRetailExecuted notebook

THE RESULT

What the data shows

The largest computed metric is 2,231 for M; the smallest is 1 for 15056P. Metric: p90_to_p10 (Price ratio).

Each line has equal weight. This is a pricing-review screen, not a fraud detector.

Within-product pricing consistency — chart from the computed study output
Computed study output. Full values and units are available in the results download.
Computed results · 12 of 1,560 rows. Values rounded for display; source units and raw column names are retained in the download.
stockcodelinesp10medianp90p90 to p10
M3210.251.65557.72,230.88
37,3401360.390.698.2921.26
37,3701661.061.2516.1315.22
16,2191000.060.830.8313.83
22,9451770.850.8510.8812.8
85071C1060.390.394.9612.72
22,9151850.420.424.9611.81
22,0681470.391.654.1310.59
22,1301130.850.858.4349.922
21,7002000.851.388.299.753
22,5001011.254.9510.798.632
22,2681640.190.631.638.579
Download the complete result table ↓

THE METHOD

From source to answer

Compare 10th and 90th percentile positive unit prices, with at least 100 lines per code.

The Python source exposes this study’s transformations. The complete project download includes shared preparation and evaluation routines.

THE NEXT DECISION

What follows from the finding

Review discounts, pack sizes and charges before labeling any price variation erroneous.

Where the conclusion stops

Historical invoice lines; credits are not reliably matched to original sales. Gross purchases are not profit. Unidentified customers cannot support customer-level conclusions. Exact repeated lines remain unless the study explicitly compares removal.

Related studies may reuse observations or holdouts. These are historical analyses; associations and backtests do not demonstrate commercial impact. Further model tuning needs new, untouched evaluation data.