Random Inventory ABC Classification Dataset Generator

Description

Generate positive synthetic demand and unit values in one caller-labeled value unit, rank independently by annual usage value and demand throughput, and delegate cumulative-share ABC classifications. Value policy remains the existing fixed 80/95 boundaries, velocity boundaries are explicit, ties retain item order, and classification uses the cumulative share including the current item—not a forced A class for the largest item.

A logistics test dataset combines supplied operating ranges with explicit quantity and unit conventions. Constructed measurements and calculated indicators can exercise reports and calculators without claiming to represent an observed operation or a safe physical plan.

When to use this tool

Use this generator to create reproducible inventory abc classification dataset cases from the supplied model or bank. Inspect the returned evidence before using cases in a test or exercise.

How to use the tool and how it works

Supply itemCount, minimumDemand, maximumDemand, minimumUnitValue, maximumUnitValue, valueUnit, fastBoundaryPercent, slowBoundaryPercent in the field shapes below. Set seed when you need an explicit replay.
Run the tool and correct any input error. For generated controls, distinguish a successful fixture containing an invalid case from failure to generate the fixture.
Read items, valueOrderIds, throughputOrderIds, totalAnnualUsageValue, totalDemandUnits, valueUnit. Use the conventions below and keep answer-bearing fields separate when presenting an exercise.

Draw demand and unit value, calculate exact annual usage value, and rank separately by value and throughput with input-order ties. Compute inclusive cumulative shares and delegate value ABC and caller-threshold velocity classifications.^[1]

Delegated operations used for this result: abc analysis cumulative value classifier; slotting velocity abc classifier. Their calculation or parsing conventions apply to the corresponding result fields.^{[2, 3]}

Input field	Meaning and units	Accepted input
itemCount	Item Count	Required. Safe integer; minimum 1; maximum 128.
minimumDemand	Minimum Demand	Required. Safe integer; minimum 1; maximum 9007199254740991.
maximumDemand	Maximum Demand	Required. Safe integer; minimum 1; maximum 9007199254740991.
minimumUnitValue	Minimum Unit Value	Required. Safe integer; minimum 1; maximum 9007199254740991.
maximumUnitValue	Maximum Unit Value	Required. Safe integer; minimum 1; maximum 9007199254740991.
valueUnit	Value Unit	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
fastBoundaryPercent	Fast Boundary Percent	Required. Finite number; strictly above 0; strictly below 100.
slowBoundaryPercent	Slow Boundary Percent	Required. Finite number; maximum 100; strictly above 0.
seed	Optional numeric seed; takes precedence over context randomness. Without either, use the fixed tool.io default seed.	Optional. Safe integer.

Output field	Interpretation	Returned shape
items	Items	Required. Array of Object; no unknown keys.; minimum items 1; maximum items 128.
items[].id	Literal identifier used to match records, independently of their display labels.	Required. Text.
items[].demandUnits	Demand Units	Required. Safe integer; minimum 1; maximum 9007199254740991.
items[].unitValue	Unit Value	Required. Safe integer; minimum 1; maximum 9007199254740991.
items[].annualUsageValue	Annual Usage Value	Required. Safe integer; minimum 1; maximum 9007199254740991.
items[].valueCumulativeSharePercent	Value Cumulative Share Percent	Required. Finite number; maximum 100; strictly above 0.
items[].abcClass	Abc Class	Required. Text; one of "A", "B", "C".
items[].throughputCumulativeSharePercent	Throughput Cumulative Share Percent	Required. Finite number; maximum 100; strictly above 0.
items[].velocityClass	Velocity Class	Required. Text; one of "A", "B", "C".
valueOrderIds	Value Order Ids	Required. Array of Text.; minimum items 1; maximum items 128.
throughputOrderIds	Throughput Order Ids	Required. Array of Text.; minimum items 1; maximum items 128.
totalAnnualUsageValue	Total Annual Usage Value	Required. Safe integer; minimum 1; maximum 9007199254740991.
totalDemandUnits	Total Demand Units	Required. Safe integer; minimum 1; maximum 9007199254740991.
valueUnit	Value Unit	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
randomness	Replay metadata: source is seed or context; seed is the normalized 32-bit seed or null for a context source.	Required. Object; no unknown keys.
randomness.seed	Optional numeric replay seed; normalization and precedence are explained below.	Required. Safe integer. or Null.
randomness.source	Source	Required. Text; one of "context", "seed".

An explicit safe-integer seed takes precedence over injected context randomness and is normalized to an unsigned 32-bit integer. With no seed and no context source, replay uses the fixed tool.io default seed. A context source must return finite values from zero inclusive to one exclusive; its advancing state must be retained separately. randomness records the source and normalized seed, or null for context. These generators are not cryptographic random sources.

json

{
  "input": {
    "itemCount": 4,
    "minimumDemand": 1,
    "maximumDemand": 10,
    "minimumUnitValue": 1,
    "maximumUnitValue": 5,
    "valueUnit": "synthetic credits",
    "fastBoundaryPercent": 70,
    "slowBoundaryPercent": 90,
    "seed": 42
  },
  "output": {
    "items": [
      {
        "id": "item-1",
        "demandUnits": 7,
        "unitValue": 3,
        "annualUsageValue": 21,
        "valueCumulativeSharePercent": 76,
        "abcClass": "A",
        "throughputCumulativeSharePercent": 76.19047619047619,
        "velocityClass": "B"
      },
      {
        "id": "item-2",
        "demandUnits": 9,
        "unitValue": 4,
        "annualUsageValue": 36,
        "valueCumulativeSharePercent": 48,
        "abcClass": "A",
        "throughputCumulativeSharePercent": 42.857142857142854,
        "velocityClass": "A"
      },
      {
        "id": "item-3",
        "demandUnits": 2,
        "unitValue": 3,
        "annualUsageValue": 6,
        "valueCumulativeSharePercent": 100,
        "abcClass": "C",
        "throughputCumulativeSharePercent": 100,
        "velocityClass": "C"
      },
      {
        "id": "item-4",
        "demandUnits": 3,
        "unitValue": 4,
        "annualUsageValue": 12,
        "valueCumulativeSharePercent": 92,
        "abcClass": "B",
        "throughputCumulativeSharePercent": 90.47619047619048,
        "velocityClass": "C"
      }
    ],
    "valueOrderIds": [
      "item-2",
      "item-1",
      "item-4",
      "item-3"
    ],
    "throughputOrderIds": [
      "item-2",
      "item-1",
      "item-4",
      "item-3"
    ],
    "totalAnnualUsageValue": 75,
    "totalDemandUnits": 21,
    "valueUnit": "synthetic credits",
    "randomness": {
      "seed": 42,
      "source": "seed"
    }
  }
}

Limitations and assumptions

Value and throughput categories answer different questions. An item's cumulative share includes that item and can cross a threshold. valueUnit is a label; no currency conversion or inventory policy optimization occurs.
A replay requires the same complete input and implementation. Randomized construction does not guarantee uniform coverage of every feasible output; finite samples can repeat unless a distinct-selection rule is explicitly stated.
The field tables state structural bounds; cross-field constraints and bounded search or output budgets also apply. Unknown keys are rejected where the object contract disallows them. Input errors are distinct from null fields and deliberate invalid controls in a successful output.

Alternative or Complementary methods

For a supplied example, inspect the returned construction or delegated check directly. To evaluate a consumer, also test cases chosen for its own boundaries; a generated finite corpus does not establish exhaustive coverage.

References

Tool behavior and example: Random Inventory ABC Classification Dataset Generator — tool.io
Calculation or validation: logistics/abc-analysis-cumulative-value-classifier — tool.io
Calculation or validation: logistics/slotting-velocity-abc-classifier — tool.io

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