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.
KSI C O L L I S I O N P A R T S In-Stock Rate & Inventory Turns by POD Revenue-weighted in-stock on velocity-coded items · unit turns and days of supply on YTD, L14 and L35 demand · map shading = in-stock rate IL · IN · MI · OH · WI GREAT LAKES 92.3% in-stock (rev-wtd) $12.0M on hand · 15.8% of inv · 89% of SKUs · 3,229 out GREAT LAKES 98.5% incl. pipeline (rev-wtd) $12.0M on hand · 15.8% of inv · 97% of SKUs · 997 out DEMAND BASIS ADU TURNS DAYS SUP. YTD ADU 1,670 1.94× 135 ADU L14 1,857 2.16× 121 ADU L35 1,904 2.21× 118 224,641 units on hand · 67,957 in pipeline TX TEXAS 80.7% in-stock (rev-wtd) $10.2M on hand · 13.4% of inv · 80% of SKUs · 6,599 out TEXAS 96.4% incl. pipeline (rev-wtd) $10.2M on hand · 13.4% of inv · 95% of SKUs · 1,638 out DEMAND BASIS ADU TURNS DAYS SUP. YTD ADU 1,426 2.77× 94 ADU L14 1,631 3.16× 82 ADU L35 1,617 3.14× 83 134,496 units on hand · 134,571 in pipeline NY · NJ · PA · CT · RI · MA · VT · NH · ME NORTHEAST 96.8% in-stock (rev-wtd) $26.8M on hand · 35.2% of inv · 92% of SKUs · 4,148 out NORTHEAST 99.4% incl. pipeline (rev-wtd) $26.8M on hand · 35.2% of inv · 96% of SKUs · 2,120 out DEMAND BASIS ADU TURNS DAYS SUP. YTD ADU 5,605 2.82× 93 ADU L14 5,510 2.77× 94 ADU L35 3,630 1.83× 143 518,897 units on hand · 194,997 in pipeline MD · DC · VA · NC · SC · GA · TN SOUTHEAST 70.4% in-stock (rev-wtd) $9.4M on hand · 12.3% of inv · 73% of SKUs · 15,030 out SOUTHEAST 93.1% incl. pipeline (rev-wtd) $9.4M on hand · 12.3% of inv · 92% of SKUs · 4,352 out DEMAND BASIS ADU TURNS DAYS SUP. YTD ADU 3,713 5.80× 45 ADU L14 3,751 5.86× 45 ADU L35 3,834 5.99× 44 166,989 units on hand · 118,163 in pipeline FL FLORIDA 79.2% in-stock (rev-wtd) $17.8M on hand · 23.4% of inv · 76% of SKUs · 8,507 out FLORIDA 97.2% incl. pipeline (rev-wtd) $17.8M on hand · 23.4% of inv · 92% of SKUs · 2,698 out DEMAND BASIS ADU TURNS DAYS SUP. YTD ADU 1,793 1.72× 152 ADU L14 1,497 1.43× 182 ADU L35 1,495 1.43× 182 272,482 units on hand · 115,656 in pipeline In-stock rate: lower higher Bold row = YTD basis HOW THESE ARE CALCULATED IN-STOCK — % of YTD revenue on SKUs with on-hand qty > 0 (velocity-coded items only). IN-STOCK — % of YTD revenue on SKUs with on-hand + pipeline qty > 0 (velocity-coded items only). TURNS — annualized unit demand (ADU × 261 selling days) ÷ on-hand units. DAYS SUP. = on-hand ÷ ADU, in selling days. TURNS — annualized unit demand (ADU × 261 selling days) ÷ on-hand units. DAYS SUP. = on-hand ÷ ADU, in selling days. Sources: Instock/Dashboard/{FL,TX,NE,SE and Greatlakes}_Raw.xlsx (on-hand qty, pipeline, YTD revenue, ADU YTD / L14 / L35, velocity) and Instock/Pod_instock_07222026/Current Onhand Amount.xlsx (on-hand $ and share of total). In-stock universe is velocity-coded items only (A–E; code P excluded), but the ranking basis differs by extract: Florida and Texas rank per POD, the Northeast ranks companywide, and SE / Great Lakes ranks per district — so a velocity letter does not mean the same thing across PODs and codes are never joined between files. Southeast takes Richmond's velocity and supplements with Atlanta's only for items Richmond does not rank. Southeast rows are district × item, so an item stocked in both Richmond and Atlanta counts once per district. Turns are unit- based, not dollar-weighted, and always use on-hand only — pipeline units are excluded there whichever in-stock definition is selected. Pipeline is InTransit for the Northeast, OnDock + InTransit for SE and Great Lakes, and the extract's own pipeline column for Florida and Texas. ADU columns are per selling day (YTD ÷ 155, L14 ÷ 10, L35 ÷ 25). Map is a schematic of market coverage, not a survey-grade boundary map.

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 2,101 items Richmond doesn't rank, so both districts bucket an item the same way.

PODAll velocity-codedABCDE
Northeastcompanywide velocity (excl. P)
96.8%99.4%
98%100%7,637 SKU
97%100%7,110 SKU
94%99%9,866 SKU
89%95%12,535 SKU
83%94%14,251 SKU
FloridaPOD velocity (FinalVelocity)
79.2%97.2%
79%98%7,650 SKU
82%97%7,034 SKU
77%96%10,293 SKU
67%89%9,259 SKU
83%93%799 SKU
Great Lakesdistrict velocity (excl. P)
92.3%98.5%
95%100%7,098 SKU
89%97%6,862 SKU
86%96%7,559 SKU
86%95%4,846 SKU
68%88%4,019 SKU
TexasPOD velocity (FinalVelocity)
80.7%96.4%
83%97%7,389 SKU
76%96%6,935 SKU
73%94%9,815 SKU
77%91%8,188 SKU
68%84%255 SKU
SoutheastRichmond velocity, supplemented by Atlanta (excl. P)
70.4%93.1%
71%94%16,271 SKU
70%91%14,080 SKU
67%89%13,855 SKU
74%91%8,443 SKU
43%77%3,349 SKU
Atlanta
61.6%90.8%
60%92%
65%88%
66%89%
74%93%
54%80%
Richmond
73.9%94.1%
76%96%
72%93%
68%89%
74%90%
40%77%

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.

PODOn-hand
units
Pipeline
units
YTD ADUADU L14ADU L35
ADUTurnsDaysADUTurnsDaysADUTurnsDays
Northeast518,897194,9975,6052.82×935,5102.77×943,6301.83×143
Florida272,482115,6561,7931.72×1521,4971.43×1821,4951.43×182
Great Lakes224,64167,9571,6701.94×1351,8572.16×1211,9042.21×118
Texas134,496134,5711,4262.77×941,6313.16×821,6173.14×83
Southeast166,989118,1633,7135.80×453,7515.86×453,8345.99×44
Atlanta54,35839,3411,0475.03×521,1175.36×491,1045.30×49
Richmond112,63178,8222,6656.18×422,6346.10×432,7296.32×41
All PODs1,322,211631,35814,2152.81×9314,2512.81×9312,4862.46×106
Method and caveats