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Stock Transfer Batch Feasibility Evidence

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Check proposed stock transfers against supplied snapshots, exact SKU/location/unit balances and reserve floors. Detect shared-source oversubscription, ordered prefix deficits, missing or duplicate stock evidence and unresolved transfer propagation. JSON or mapped CSV.

Pricing

$0.25 / completed report

Rating

0.0

(0)

Developer

Gilad Ronen

Actor stats

Bookmarked

Total users

Monthly active users

20 days ago

Last modified

Categories

E-commerce

Automation

You can access the Stock Transfer Batch Feasibility Evidence programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "snapshotId": "demo-2026-10-04",
10    "snapshotCoverage": "partial",
11    "executionModel": "simultaneous-outbound",
12    "inventory": [
13        {
14            "rowId": "i-a",
15            "sku": "001",
16            "locationId": "A",
17            "unit": "each",
18            "availableQuantity": "10",
19            "reserveFloor": "3",
20            "snapshotId": "demo-2026-10-04",
21        },
22        {
23            "rowId": "i-b",
24            "sku": "001",
25            "locationId": "B",
26            "unit": "each",
27            "availableQuantity": "0",
28            "reserveFloor": "0",
29            "snapshotId": "demo-2026-10-04",
30        },
31        {
32            "rowId": "i-c",
33            "sku": "001",
34            "locationId": "C",
35            "unit": "each",
36            "availableQuantity": "0",
37            "reserveFloor": "0",
38            "snapshotId": "demo-2026-10-04",
39        },
40        {
41            "rowId": "i-d",
42            "sku": "002",
43            "locationId": "D",
44            "unit": "each",
45            "availableQuantity": "7.25",
46            "reserveFloor": "1",
47            "snapshotId": "demo-2026-10-04",
48        },
49        {
50            "rowId": "i-e",
51            "sku": "002",
52            "locationId": "E",
53            "unit": "each",
54            "availableQuantity": "0",
55            "reserveFloor": "0",
56            "snapshotId": "demo-2026-10-04",
57        },
58        {
59            "rowId": "i-f-case",
60            "sku": "003",
61            "locationId": "F",
62            "unit": "case",
63            "availableQuantity": "15",
64            "reserveFloor": "0",
65            "snapshotId": "demo-2026-10-04",
66        },
67        {
68            "rowId": "i-g",
69            "sku": "003",
70            "locationId": "G",
71            "unit": "each",
72            "availableQuantity": "0",
73            "reserveFloor": "0",
74            "snapshotId": "demo-2026-10-04",
75        },
76        {
77            "rowId": "i-n",
78            "sku": "004",
79            "locationId": "N",
80            "unit": "each",
81            "availableQuantity": "0",
82            "reserveFloor": "0",
83            "snapshotId": "demo-2026-10-04",
84        },
85        {
86            "rowId": "i-m-old",
87            "sku": "004",
88            "locationId": "M",
89            "unit": "each",
90            "availableQuantity": "99",
91            "reserveFloor": "0",
92            "snapshotId": "previous-snapshot",
93        },
94        {
95            "rowId": "i-z",
96            "sku": "005",
97            "locationId": "Z",
98            "unit": "kg",
99            "availableQuantity": "4.5",
100            "reserveFloor": "0.5",
101            "snapshotId": "demo-2026-10-04",
102        },
103    ],
104    "inventoryCsv": "",
105    "inventoryColumns": {
106        "rowId": "rowId",
107        "sku": "sku",
108        "locationId": "locationId",
109        "unit": "unit",
110        "availableQuantity": "availableQuantity",
111        "reserveFloor": "reserveFloor",
112        "snapshotId": "snapshotId",
113    },
114    "transfers": [
115        {
116            "rowId": "t-shared-1",
117            "sku": "001",
118            "fromLocationId": "A",
119            "toLocationId": "B",
120            "unit": "each",
121            "quantity": "4",
122            "sequence": 1,
123        },
124        {
125            "rowId": "t-shared-2",
126            "sku": "001",
127            "fromLocationId": "A",
128            "toLocationId": "C",
129            "unit": "each",
130            "quantity": "4",
131            "sequence": 2,
132        },
133        {
134            "rowId": "t-valid",
135            "sku": "002",
136            "fromLocationId": "D",
137            "toLocationId": "E",
138            "unit": "each",
139            "quantity": "2.125",
140            "sequence": 3,
141        },
142        {
143            "rowId": "t-unit",
144            "sku": "003",
145            "fromLocationId": "F",
146            "toLocationId": "G",
147            "unit": "each",
148            "quantity": "1",
149            "sequence": 4,
150        },
151        {
152            "rowId": "t-missing",
153            "sku": "004",
154            "fromLocationId": "M",
155            "toLocationId": "N",
156            "unit": "each",
157            "quantity": "2",
158            "sequence": 5,
159        },
160    ],
161    "transfersCsv": "",
162    "transferColumns": {
163        "rowId": "rowId",
164        "sku": "sku",
165        "fromLocationId": "fromLocationId",
166        "toLocationId": "toLocationId",
167        "unit": "unit",
168        "quantity": "quantity",
169        "sequence": "sequence",
170    },
171}
172
173# Run the Actor and wait for it to finish
174run = client.actor("h_murdock/stock-transfer-plan-evidence").call(run_input=run_input)
175
176# Fetch and print Actor results from the run's dataset (if there are any)
177print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
178for item in client.dataset(run.default_dataset_id).iterate_items():
179    print(item)
180
181# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Stock Transfer Batch Feasibility Evidence API in Python

The Apify API client for Python is the official library that allows you to use Stock Transfer Batch Feasibility Evidence API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Stock Transfer Batch Feasibility Evidence API in JavaScript

Stock Transfer Batch Feasibility Evidence API through CLI

Stock Transfer Batch Feasibility Evidence OpenAPI definition

Stock Transfer Batch Feasibility Evidence API

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