Gaming Hardware Supply Flow Dashboard

This dataset provides granular tracking of gaming hardware supply flows from manufacturers to fulfillment centers, including shipment details, quantities, risk scores, and regional shortage indicators. It enables supply chain analysts to monitor bottlenecks, identify logistics delays, and assess risk exposure across regions and components for improved resilience in the gaming hardware sector.

  • last updated 22 Dec 2025
  • by GoMask
The brief that made it

Supply bottleneck and risk analysis for gaming hardware

Sample rows

preview · 8 of 88 rows · all 24 columns
supply_flow_idstringshipment_statusstringquantity_receivedintegerregional_shortage_flagbooleanmanufacturer_namestringcomponent_idstringcomponent_namestringmanufacturer_idstringorigin_countrystringfulfillment_center_idstringfulfillment_center_namestringfulfillment_center_street_addressstringfulfillment_center_citystringfulfillment_center_statestringfulfillment_center_postal_codestringfulfillment_center_countrystringshipment_datedateexpected_arrival_datedateactual_arrival_datedatequantity_shippedintegerlogistics_delay_flagbooleanrisk_scorefloatrisk_reasonstringlast_updateddatetime
SF10001arrived150falseNvidiaCMP-001GPUMFG-01TaiwanFC-001Amazon Seattle410 Terry Ave NSeattleWA98109USA2024-03-152024-03-202024-03-20150false0.14blank2024-03-20T12:45:00
SF10002delayed98trueAMDCMP-002CPUMFG-02MalaysiaFC-002Newegg LA18045 Rowland StCity of IndustryCA91748USA2024-03-182024-03-242024-03-25100true0.56Delayed shipment, 2 missing units, regional CPU shortage2024-03-25T09:18:00
SF10003arrived80falseASUSCMP-003MotherboardMFG-03ChinaFC-003Micro Center Dallas13929 N Central ExpyDallasTX75243USA2024-03-172024-03-222024-03-2280false0.07blank2024-03-22T14:22:00
SF10004delayed118falseCorsairCMP-004RAMMFG-04USAFC-004Walmart Houston111 Yale StHoustonTX77007USA2024-03-192024-03-262024-03-28120true0.32Late arrival, 2 units missing2024-03-28T11:05:00
SF10005arrived200falseSamsungCMP-005SSDMFG-05South KoreaFC-005Best Buy Miami1131 5th StMiami BeachFL33139USA2024-03-202024-03-272024-03-27200false0.11blank2024-03-27T16:48:00
SF10006delayed89trueEVGACMP-006Power SupplyMFG-06ChinaFC-006Target Denver7890 E 29th AveDenverCO80238USA2024-03-212024-03-282024-03-3090true0.66Delay, 1 missing, Power Supply shortage in region2024-03-30T13:37:00
SF10007arrived170falseNvidiaCMP-007GPUMFG-01TaiwanFC-002Newegg LA18045 Rowland StCity of IndustryCA91748USA2024-04-012024-04-072024-04-07170false0.1blank2024-04-07T08:59:00
SF10008delayed94falseAMDCMP-002CPUMFG-02MalaysiaFC-003Micro Center Dallas13929 N Central ExpyDallasTX75243USA2024-04-032024-04-082024-04-1095true0.37Shipment delayed 2 days, 1 unit missing2024-04-10T10:20:00

What the 88 rows show

from the 88-row sample

In_transit (shipment status) stands out: mean quantity_received is 0.0, against 101.9 for the rest.

  • 20%regional_shortage_flag = true
  • 90median quantity_received
  • 6component names
  • 7origin countries
  • 7fulfillment center states
  • 10fulfillment center cities
Mean quantity_received by shipment_status85 rows
01002000.0dispatch…6 rows0.0in_trans…16 rows117.3arrived36 rows104.0delayed27 rows
quantity_received85 rows, in bands of 20
0153022058141564740100200quantity_received →

Median 90, from 0 to 200.

manufacturer_name88 rows · top 10 of 15 values
  1. Nvidia11
  2. AMD11
  3. Corsair11
  4. EVGA11
  5. ASUS7
  6. Samsung7
  7. Crucial4
  8. G.SKILL4
  9. Kingston4
  10. Cooler Master4
24 columns by typefrom the column list below
  • string 15
  • integer 2
  • float 1
  • date 3
  • datetime 1
  • boolean 2

Columns

24 columns in four groups
blueprint · 24 columns
columntypedescriptionexample
Text 15 columns
supply_flow_idstringUnique identifier for each supply flow recorduniqueSF10001
component_idstringUnique identifier for the gaming hardware componentCMP-001
component_namestringName of the gaming hardware component (e.g., GPU, CPU, motherboard)6 namesGPU
manufacturer_idstringUnique identifier for the manufacturerMFG-01
manufacturer_namestringName of the manufacturerNvidia
origin_countrystringCountry where the component is manufactured7 countriesTaiwan
fulfillment_center_idstringUnique identifier for the fulfillment centerFC-001
fulfillment_center_namestringName of the fulfillment centerAmazon Seattle
fulfillment_center_street_addressstringStreet address of the fulfillment center410 Terry Ave N
fulfillment_center_citystringCity where the fulfillment center is located10 citiesSeattle
fulfillment_center_statestringState or region of the fulfillment center7 statesWA
fulfillment_center_postal_codestringPostal code of the fulfillment center12 codes98109
fulfillment_center_countrystringCountry of the fulfillment centerUSA
shipment_statusstringCurrent status of the shipment (e.g., dispatched, in transit, arrived, delayed)dispatched · in_transit · arrived · delayed · cancelledarrived
risk_reasonstringDescription of the risk factors affecting this supply flowoptionalDelayed, 1 missing
Numbers 3 columns
quantity_shippedintegerNumber of hardware components shipped1 or more150
quantity_receivedintegerNumber of hardware components received at the fulfillment center0 or more · optional150
risk_scorefloatCalculated risk score for this supply flow (higher means greater risk)0 to 10.14
Dates and times 4 columns
shipment_datedateDate the shipment was dispatched from the manufacturer2024-03-15
expected_arrival_datedateExpected arrival date at the fulfillment center2024-03-20
actual_arrival_datedateActual arrival date at the fulfillment centeroptional2024-03-20
last_updateddatetimeTimestamp of the last update to this record2024-03-20T12:45:00
True or false 2 columns
regional_shortage_flagbooleanIndicates if there is a regional shortage for this component at the fulfillment centerfalse
logistics_delay_flagbooleanIndicates if the shipment experienced a logistics delayfalse

Use it for

  • regional short…20%18 of 88 rowsmean quantity receive…0.0disp…0.0in_t…117.3arri…104.0dela…

    A logistics dashboard

    The regional_shortage_flag rate, quantity_received by shipment_status and a breakdown of manufacturer_name. Excel, Power BI or Tableau.

  • Why do the 16 in_transit rows have a mean quantity_received of 0.0?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable supply flows with component_id, component_name and manufacturer_id to fill a screen in front of a buyer.

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This dataset88 rows24 columns
Yours1,000 rows24 columnsorigin_country: UK only

blueprint · gaming-hardware-supply-flow-dashboard

Behind this dataset

Same schema. As many rows as you need.

These 88 rows came out of a blueprint — 24 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Each row represents a unique batch shipment and its journey status.
  • Include risk score based on supplier reliability and global logistics alerts.
  • Track real-time stock at major regional fulfillment centers.
  • Flag hardware types or components experiencing chronic delay or shortage.
  • Record costs, lead time, and incident reports for each shipment.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
gaming-hardware-supply-flow-dashboard

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