KSI — In-Stock Rate & Inventory Turns by POD

In-stock counts

Pipeline = InTransit (NE) · OnDock + InTransit (SE / Great Lakes) · the extract's pipeline column (FL / TX). Turns stay on-hand-only either way.

Table scope Filters the two tables below; the map always shows all five PODs. District detail exists only where the extract carries a District column — Florida and Texas are POD aggregates and the Northeast columns are already combined across its districts.

Check the source data

Southeast and Greatlakes Raw.xlsx also carries districts outside the five PODs — Franklin (28,143 rows), Long Island (47,549 rows). Those rows are excluded: they belong to PODs sourced from their own extract, and including them would double-count.
Grain is not uniform, so in-stock is not strictly comparable across the map. Great Lakes (4 warehouses), Southeast (4 warehouses) come at stocking-location grain — a SKU counts once per location and is 'out' wherever it is missing. Northeast, Florida, Texas arrive pre-aggregated to the POD, where a SKU counts once and is in stock if any location has it. Location grain reads materially lower for the same inventory.

Data as of 2026-08-25 17:42 · built 2026-08-25 17:53

Extract	Last modified	Rows used	Feeds
FL_Raw.xlsx	2026-08-25 17:42	136,888	Florida
TX_Raw.xlsx	2026-08-25 17:42	138,692	Texas
NE_Raw.xlsx	2026-08-25 17:24	55,816	Northeast
Southeast and Greatlakes Raw.xlsx	2026-08-25 17:42	159,084	Great Lakes · Southeast

Extract

Last modified

Rows used

Feeds

FL_Raw.xlsx

2026-08-25 17:42

136,888

Florida

TX_Raw.xlsx

2026-08-25 17:42

138,692

Texas

NE_Raw.xlsx

2026-08-25 17:24

55,816

Northeast

Southeast and Greatlakes Raw.xlsx

2026-08-25 17:42

159,084

Great Lakes · Southeast

Run Refresh Dashboard.cmd to pull the current day from Power BI and rebuild. The oldest extract here is 2026-08-25 17:24 — anything much older than the rest did not refresh.

In-stock rate by velocity Revenue-weighted, on velocity-coded items (A–E; code P excluded). Bars scale 0–100%. The ranking basis is not the same everywhere — Florida and Texas rank per POD, Northeast ranks companywide, Great Lakes ranks per district — so compare a POD against itself down a column, not across PODs along a row. Southeast takes Richmond's velocity and supplements with Atlanta's for the 1,973 items Richmond doesn't rank, so both districts bucket an item the same way.

POD	All velocity-coded	A	B	C	D	E
Northeastvelocity (excl. P)	89.6%96.9%	94%99%7,612 SKU	85%96%7,000 SKU	81%93%9,463 SKU	81%92%11,530 SKU	80%92%13,895 SKU
FloridaPOD velocity (excl. P)	85.0%96.9%	86%98%7,839 SKU	86%98%7,129 SKU	82%92%11,006 SKU	74%81%9,214 SKU	69%85%2,894 SKU
Great Lakesstatewide velocity (excl. P)	75.3%93.6%	78%96%27,242 SKU	70%90%24,001 SKU	74%89%18,866 SKU	75%86%8,829 SKU	44%79%8,552 SKU
TexasPOD velocity (excl. P)	80.3%96.1%	83%97%7,494 SKU	76%95%7,018 SKU	74%94%9,978 SKU	77%89%8,248 SKU	68%82%229 SKU
SoutheastRichmond velocity, supplemented by Atlanta (excl. P)	67.2%91.1%	68%93%16,872 SKU	67%89%15,638 SKU	64%86%16,654 SKU	71%87%12,468 SKU	42%71%3,670 SKU
Atlanta	60.5%89.1%	59%90%	64%88%	66%87%	74%91%	51%76%
Richmond	70.7%92.2%	73%95%	68%90%	64%86%	69%85%	40%69%

POD

All velocity-coded

Northeastvelocity (excl. P)

89.6%96.9%

94%99%7,612 SKU

85%96%7,000 SKU

81%93%9,463 SKU

81%92%11,530 SKU

80%92%13,895 SKU

FloridaPOD velocity (excl. P)

85.0%96.9%

86%98%7,839 SKU

86%98%7,129 SKU

82%92%11,006 SKU

74%81%9,214 SKU

69%85%2,894 SKU

Great Lakesstatewide velocity (excl. P)

75.3%93.6%

78%96%27,242 SKU

70%90%24,001 SKU

74%89%18,866 SKU

75%86%8,829 SKU

44%79%8,552 SKU

TexasPOD velocity (excl. P)

80.3%96.1%

83%97%7,494 SKU

76%95%7,018 SKU

74%94%9,978 SKU

77%89%8,248 SKU

68%82%229 SKU

SoutheastRichmond velocity, supplemented by Atlanta (excl. P)

67.2%91.1%

68%93%16,872 SKU

67%89%15,638 SKU

64%86%16,654 SKU

71%87%12,468 SKU

42%71%3,670 SKU

Atlanta

60.5%89.1%

59%90%

64%88%

66%87%

74%91%

51%76%

Richmond

70.7%92.2%

73%95%

68%90%

64%86%

69%85%

40%69%

Inventory turns and days of supply Unit turns = ADU × 261 selling days ÷ on-hand units. Days of supply = on-hand units ÷ ADU, in selling days. On-hand only — pipeline units are listed but excluded from both.

POD	On-hand units	Pipeline units	YTD ADU			ADU L14			ADU L35
POD	On-hand units	Pipeline units	ADU	Turns	Days	ADU	Turns	Days	ADU	Turns	Days
Northeast	261,274	67,038	2,198	2.20×	119	2,097	2.09×	125	2,061	2.06×	127
Florida	283,483	113,228	1,688	1.55×	168	1,655	1.52×	171	1,680	1.55×	169
Great Lakes	249,537	94,441	1,592	1.66×	157	1,664	1.74×	150	1,723	1.80×	145
Texas	140,960	123,780	1,430	2.65×	99	1,444	2.67×	98	1,569	2.90×	90
Southeast	178,177	119,634	3,065	4.49×	58	3,002	4.40×	59	3,100	4.54×	57
Atlanta	53,214	41,196	1,056	5.18×	50	1,067	5.23×	50	1,120	5.49×	48
Richmond	124,963	78,438	2,009	4.20×	62	1,935	4.04×	65	1,980	4.14×	63
All PODs	1,126,284	518,131	9,978	2.31×	113	9,865	2.29×	114	10,136	2.35×	111

Method and caveats

In-stock = share of YTD revenue sitting on SKUs that are available. The toggle switches what counts as available: on hand only (on-hand qty > 0, the strict read) or on hand + pipeline (on-hand + pipeline qty > 0, crediting stock already on the way). Pipeline is InTransit_Combined for the Northeast, OnDock Qty + InTransit Qty for SE / Great Lakes, and the extract's own pipeline column (Qty_InPipeLine / POD_Pipeline) for Florida and Texas. A SKU-count version of each is on the map cards; both cover velocity-coded items only.
The toggle does not affect turns or days of supply — those stay on on-hand units, since pipeline stock is not yet available to sell.
Every POD is now velocity-filtered, but not on the same basis. Florida and Texas carry a POD-level FinalVelocity (the two disagree on ~90% of shared items). Northeast carries companywide velocity. SE / Great Lakes carries a district-level Velocity. Codes are therefore never joined across extracts, and a letter is only comparable within its own POD. Code P is not a velocity rank and is excluded everywhere it appears.
Southeast velocity is Richmond-first. The two Southeast districts rank the same item differently on 44% of the 19,513 items they both carry, so the POD cannot simply pool them. Per the business rule, Richmond's code wins (32,885 items) and Atlanta's supplements only items Richmond does not rank (1,973 items). The unified code is applied to both districts' rows, so Atlanta's A–E row above is on Southeast's ranking, not Atlanta's local one. 4,559 of 69,861 Southeast rows carry no A–E code in either district and drop out of the universe.
Southeast rows are district × item. Richmond and Atlanta are separate rows for the same item, which is the right grain for in-stock — each district has to have it on hand — but it means Southeast SKU counts are district-SKU pairs, not distinct items.
The SE / Great Lakes extract is pre-filtered to Total Inventory Value > $0, unblocked and not-closed items, excluding warehouses 87FL / 88FL. The other extracts carry their own filters, so universes are not identical POD to POD.
Turns are unit-based, not dollar-weighted: the extracts carry YTD revenue but no unit cost, so a dollar turn cannot be computed from them without assuming a price.
ADU columns are per selling day, verified against the raw values: YTD ADU is units ÷ 155, ADU L14 is units ÷ 10, ADU L35 is units ÷ 25. Annualizing uses 261 selling days, which matches the L14 and L35 basis.
These rates are computed fresh from Instock/Dashboard/ and will not tie to Pod_instock_07222026/RegionOverall.xlsx, which is a separate earlier pull with its own universe.
Rebuild with python build.py after dropping new raw extracts in Instock/Dashboard/.