Supplier On-Time Delivery Scorecard

This dataset provides detailed records of supplier deliveries to manufacturing facilities, including punctuality metrics, delay reasons, corrective actions, and quality acceptance. It enables operations managers to monitor supplier reliability, identify recurring issues, and make informed sourcing decisions to strengthen supply chain resilience.

  • last updated 20 Dec 2025
  • by GoMask
The brief that made it

Supplier performance benchmarking and scorecarding

Sample rows

preview · 8 of 120 rows · all 23 columns
delivery_idstringdelivery_unitstringdelay_daysintegerdelivery_on_timebooleandelivery_location_countrystringsupplier_idstringsupplier_namestringsupplier_contact_namestringsupplier_contact_emailstringdelivery_date_expecteddatedelivery_date_actualdatedelay_reasonstringdelivery_quantityintegerpurchase_order_idstringitem_idstringitem_namestringdelivery_location_streetstringdelivery_location_citystringdelivery_location_statestringdelivery_location_postal_codestringdelivery_quality_acceptedbooleancorrective_action_takenstringdelivery_notesstring
DEL-00001pieces0trueUSASUP-001Acme ManufacturingSarah Johnsonsarah.johnson@acmemfg.com2024-06-032024-06-03blank1200PO-10001ITEM-001Aluminum Housing4501 Main StreetDallasTX75201trueblankDelivery received on time and in full.
DEL-00002kg6falseSwedenSUP-002Nordic FoodsEmma Svenssonemma.svensson@nordicfoods.se2024-06-012024-06-07Logistics delays due to customs hold.280PO-10002ITEM-002Frozen Salmon Fillet12 GustafsvägenStockholmStockholm11345trueExpedited customs clearance and arranged alternate carrier.Product arrived cold-packed and met standards.
DEL-00003pieces0trueUSASUP-001Acme ManufacturingSarah Johnsonsarah.johnson@acmemfg.com2024-06-102024-06-10blank950PO-10003ITEM-003Steel Bracket4501 Main StreetDallasTX75201trueblankAll brackets passed inspection.
DEL-00004pieces1falseUSASUP-003Global ElectronicsMichael Chenm.chen@globalelec.us2024-06-052024-06-06Warehouse staffing shortage.120PO-10004ITEM-004PCB Controller313 Edison AveSan JoseCA95134falseIncreased shift hours, prioritized urgent orders.Several units had soldering defects, rejected batch.
DEL-00005pieces0trueJamaicaSUP-004Island Hardwareblankblank2024-06-112024-06-11blank8PO-10005ITEM-005Wooden Mallet87 Beach RoadKingstonJamaica ParishJM0001trueblankDelivered as ordered, quality checked.
DEL-00006liters24falseIndiaSUP-005ChemSol IndiaPriya Kumarpriya.kumar@chemsol.in2024-06-022024-06-26Raw material shortage following supplier strike.1200PO-10006ITEM-006Solvent X299 MG RoadMumbaiMaharashtra400001trueSourced alternate supplier and compensated shipment delay.Partial shipment received, remainder due next week.
DEL-00007kg0trueUSASUP-006United PlasticsJohn Bakerjohn.baker@unitedplastics.com2024-06-092024-06-09blank520PO-10007ITEM-007Polymer Resin140 Industrial DrChicagoIL60616trueblankPolymer resin tested and approved.
DEL-00008kg24falseRussiaSUP-007Eastern MetalsAnastasia Ivanovaanastasia.ivanova@eastmet.ru2024-06-042024-06-28Political unrest leading to shipping delays.2000PO-10008ITEM-008Copper Wire45 Pushkin StMoscowMoscow101000trueUsed alternate shipping route and coordinated with authorities.Copper wire met all specifications.

What the 120 rows show

from the 120-row sample

Liters (delivery unit) stands out: mean delay_days is 7.3, against 2.3 for the rest.

  • 60%delivery_on_time = true
  • 0median delay_days
  • 360median delivery_quantity
Mean delay_days by delivery_unit120 rows
0483.5kg47 rows0.86pieces44 rows7.3liters16 rows2.5meters11 rows1.5m32 rows
delay_days120 rows, in bands of 5
0501009319114201530delay_days →

Median 0, from 0 to 30.

delivery_location_country120 rows · top 10 of 25 values
  1. USA43
  2. UK8
  3. Sweden7
  4. India7
  5. Russia5
  6. Australia5
  7. Germany4
  8. Brazil4
  9. Latvia4
  10. Japan3
23 columns by typefrom the column list below
  • string 17
  • integer 2
  • date 2
  • boolean 2

Columns

23 columns in four groups
blueprint · 23 columns
columntypedescriptionexample
Text 17 columns
delivery_idstringUnique identifier for each supplier delivery recorduniqueDEL-00001
supplier_idstringUnique identifier for the supplierSUP-001
supplier_namestringName of the supplierAcme Manufacturing
supplier_contact_namestringPrimary contact person at the supplieroptionalSarah Johnson
supplier_contact_emailstringEmail address of the supplier contactoptionalm.chen@globalelec.us
delay_reasonstringReason for the delivery delay, if anyoptionalSupplier system outage.
corrective_action_takenstringDescription of corrective actions taken by the supplier or manufactureroptionalExpedited customs clearan…
delivery_unitstringUnit of measurement for the delivered items (e.g., pieces, kg, liters)5 unitspieces
purchase_order_idstringIdentifier for the associated purchase orderPO-10001
item_idstringIdentifier for the delivered itemITEM-001
item_namestringName or description of the delivered itemAluminum Housing
delivery_location_streetstringStreet address where the delivery was receivedoptional4501 Main Street
delivery_location_citystringCity where the delivery was receivedoptionalDallas
delivery_location_statestringState or province where the delivery was receivedoptionalTX
delivery_location_postal_codestringPostal code of the delivery locationoptional75201
delivery_location_countrystringCountry of the delivery locationoptionalUSA
delivery_notesstringAdditional notes or comments about the deliveryoptionalDelivery received on time…
Numbers 2 columns
delay_daysintegerNumber of days the delivery was delayed (0 if on time)0 or more0
delivery_quantityintegerQuantity of items delivered1 or more1200
Dates and times 2 columns
delivery_date_expecteddateDate the delivery was expected2024-06-03
delivery_date_actualdateDate the delivery actually arrived2024-06-03
True or false 2 columns
delivery_on_timebooleanIndicates if the delivery was on time (true) or late (false)true
delivery_quality_acceptedbooleanIndicates if the delivered items met quality standardstrue

Use it for

  • delivery on ti…60%72 of 120 rowsmean delay days by de…3.5kg0.86piec…7.3lite…2.5mete…

    A manufacturing dashboard

    The delivery_on_time rate, delay_days by delivery_unit and a breakdown of delivery_location_country. Excel, Power BI or Tableau.

  • Why do the 16 liters rows have a mean delay_days of 7.3?

    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 deliveries with supplier_id, supplier_name and supplier_contact_name to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 23 columns, your size and your rules. See 20 rows before you pay.

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This dataset120 rows23 columns
Yours1,000 rows23 columnsdelivery_location_street: UK only

blueprint · supplier-on-time-delivery-scorecard

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 23 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 supplier delivery event.
  • Delivery status is standardized as 'On-Time', 'Late', or 'Early'.
  • Delay reasons are categorized (e.g., logistics, quality hold, weather, customs).
  • Score calculation incorporates delivery history for rolling 3-month periods.
  • Corrective action notes required for late deliveries.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
supplier-on-time-delivery-scorecard

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