| --- |
| license: cc-by-nc-4.0 |
| pretty_name: PrimaForja Supply — One-Month Sample |
| language: |
| - en |
| tags: |
| - synthetic |
| - business |
| - supply-chain |
| - distribution |
| - finance |
| - inventory |
| - logistics |
| - sql |
| - tabular |
| task_categories: |
| - tabular-classification |
| - tabular-regression |
| - time-series-forecasting |
| size_categories: |
| - 10M<n<100M |
| extra_gated_heading: "Request access to the PrimaForja Supply sample" |
| extra_gated_prompt: >- |
| This sample is published by PrimaForja LLC under the Creative Commons |
| Attribution-NonCommercial 4.0 license (CC BY-NC 4.0). By requesting |
| access you agree that: (1) you will use the data for non-commercial |
| purposes only — commercial licenses for the full dataset are available at |
| https://www.primaforja.com; (2) you will credit "PrimaForja LLC" in any |
| publication, model, or derivative that uses it; (3) no trademark license |
| is granted — the PrimaForja name and marks may be used only for that |
| required attribution; and (4) the data is entirely synthetic and provided |
| as-is, without warranty of any kind. Access is granted automatically once |
| you accept. |
| extra_gated_fields: |
| Name: text |
| Organization: text |
| Intended use: |
| type: select |
| options: |
| - BI / dashboard testing |
| - ML research or training |
| - Education |
| - Evaluating a commercial license |
| - Other |
| I agree to the terms above: checkbox |
| extra_gated_button_content: "Accept terms and request access" |
| configs: |
| - config_name: ap_ledger |
| data_files: "ap_ledger.parquet" |
| - config_name: ar_ledger |
| data_files: "ar_ledger.parquet" |
| - config_name: backorder_resolution_history |
| data_files: "backorder_resolution_history.parquet" |
| - config_name: backorders |
| data_files: "backorders.parquet" |
| - config_name: capex_schedule |
| data_files: "capex_schedule.parquet" |
| - config_name: carrier_performance_history |
| data_files: "carrier_performance_history.parquet" |
| - config_name: carriers |
| data_files: "carriers.parquet" |
| - config_name: corporate_overhead_monthly |
| data_files: "corporate_overhead_monthly.parquet" |
| - config_name: corporate_payroll |
| data_files: "corporate_payroll.parquet" |
| - config_name: customer_contacts |
| data_files: "customer_contacts.parquet" |
| - config_name: customer_item_preferences |
| data_files: "customer_item_preferences.parquet" |
| - config_name: customer_ltv_history |
| data_files: "customer_ltv_history.parquet" |
| - config_name: customers |
| data_files: "customers.parquet" |
| - config_name: dc_facility_costs |
| data_files: "dc_facility_costs.parquet" |
| - config_name: dc_item_slotting |
| data_files: "dc_item_slotting.parquet" |
| - config_name: dc_throughput_history |
| data_files: "dc_throughput_history.parquet" |
| - config_name: demand_signal_history |
| data_files: "demand_signal_history.parquet" |
| - config_name: distribution_centers |
| data_files: "distribution_centers.parquet" |
| - config_name: driver_costs |
| data_files: "driver_costs.parquet" |
| - config_name: equipment_maintenance_events |
| data_files: "equipment_maintenance_events.parquet" |
| - config_name: fleet_assets |
| data_files: "fleet_assets.parquet" |
| - config_name: fleet_maintenance_events |
| data_files: "fleet_maintenance_events.parquet" |
| - config_name: forecast_accuracy_history |
| data_files: "forecast_accuracy_history.parquet" |
| - config_name: fuel_costs |
| data_files: "fuel_costs.parquet" |
| - config_name: internal_consumption |
| data_files: "internal_consumption.parquet" |
| - config_name: inventory |
| data_files: "inventory.parquet" |
| - config_name: inventory_adjustments |
| data_files: "inventory_adjustments.parquet" |
| - config_name: inventory_monthly_snapshot |
| data_files: "inventory_monthly_snapshot.parquet" |
| - config_name: invoice_lines |
| data_files: "invoice_lines.parquet" |
| - config_name: invoices |
| data_files: "invoices.parquet" |
| - config_name: item_costs |
| data_files: "item_costs.parquet" |
| - config_name: item_forecast |
| data_files: "item_forecast.parquet" |
| - config_name: item_velocity_history |
| data_files: "item_velocity_history.parquet" |
| - config_name: items |
| data_files: "items.parquet" |
| - config_name: kpi_budget |
| data_files: "kpi_budget.parquet" |
| - config_name: kpi_projections |
| data_files: "kpi_projections.parquet" |
| - config_name: labor_costs |
| data_files: "labor_costs.parquet" |
| - config_name: manufacturers |
| data_files: "manufacturers.parquet" |
| - config_name: margin_waterfall |
| data_files: "margin_waterfall.parquet" |
| - config_name: marketing_campaigns |
| data_files: "marketing_campaigns.parquet" |
| - config_name: order_lines |
| data_files: "order_lines.parquet" |
| - config_name: orders |
| data_files: "orders.parquet" |
| - config_name: price_elasticity_history |
| data_files: "price_elasticity_history.parquet" |
| - config_name: price_history |
| data_files: "price_history.parquet" |
| - config_name: promo_orders |
| data_files: "promo_orders.parquet" |
| - config_name: promotional_lift_history |
| data_files: "promotional_lift_history.parquet" |
| - config_name: promotions |
| data_files: "promotions.parquet" |
| - config_name: purchase_orders |
| data_files: "purchase_orders.parquet" |
| - config_name: replenishment_signal_history |
| data_files: "replenishment_signal_history.parquet" |
| - config_name: returns |
| data_files: "returns.parquet" |
| - config_name: safety_incidents |
| data_files: "safety_incidents.parquet" |
| - config_name: sales_rep_compensation |
| data_files: "sales_rep_compensation.parquet" |
| - config_name: sales_rep_performance_history |
| data_files: "sales_rep_performance_history.parquet" |
| - config_name: sales_reps |
| data_files: "sales_reps.parquet" |
| - config_name: shipment_lines |
| data_files: "shipment_lines.parquet" |
| - config_name: shipments |
| data_files: "shipments.parquet" |
| - config_name: tracking_events |
| data_files: "tracking_events.parquet" |
| - config_name: vendor_item_details |
| data_files: "vendor_item_details.parquet" |
| - config_name: vendor_performance |
| data_files: "vendor_performance.parquet" |
| - config_name: vendor_scorecards |
| data_files: "vendor_scorecards.parquet" |
| - config_name: vendors |
| data_files: "vendors.parquet" |
| - config_name: workforce_headcount |
| data_files: "workforce_headcount.parquet" |
| --- |
| |
| # PrimaForja Supply — One-Month Sample |
|
|
| *A fully synthetic, fully reconciled month of a mid-market industrial |
| distributor: ~40 million rows across 62 interrelated tables, generated at |
| full production scale (27 distribution centers, ~6,800 customers, ~37,000 |
| SKUs, 391 vendors, ~1.7 million orders).* |
|
|
| ## What this is |
|
|
| A free sample of a production-scale synthetic dataset that models a US |
| industrial/office-supply distributor doing roughly **$12 million per day** |
| in revenue. Those numbers are the generator's *default configuration*, not |
| a limit — the business scales up or down (rows, revenue, date range) with |
| every table still agreeing with every other table. In its default shape |
| the full product is two years of history (~800 million rows); this sample |
| is one complete calendar month (June 2025), generated by the same pipeline |
| at the same scale — every foreign key resolves and every financial number |
| reconciles, at a size you can explore on a laptop. |
|
|
| **Not one row of this is real data.** No PII, no scrubbed production |
| data, no licensing entanglements. It is generated by a deterministic, |
| config-driven pipeline (3,300+ tunable parameters) in which the business |
| logic interlocks: facility size drives headcount, headcount drives |
| payroll, payroll rolls into EBITDA; discounts, promotions, freight, and |
| cost flow into a pocket-margin waterfall that reconciles to the dollar. |
|
|
| The month has honest edges, the way a real month does: orders sit |
| strictly inside June, but shipments and invoices for late-June orders |
| spill into July, and June carries backorders and receivables opened |
| earlier. |
|
|
| ## Using the sample |
|
|
| Each table is one Parquet file — use the **dataset viewer** above (pick a |
| table from the config dropdown) or load any table directly: |
|
|
| ```python |
| import pandas as pd |
| |
| orders = pd.read_parquet("hf://datasets/PrimaForja/supply-one-month-sample/orders.parquet") |
| ``` |
|
|
| DuckDB makes the joins effortless: |
|
|
| ```python |
| import duckdb |
| |
| con = duckdb.connect() |
| df = con.sql(""" |
| SELECT c.segment, COUNT(DISTINCT o.order_id) AS orders, SUM(ol.extended_price) AS revenue |
| FROM 'hf://datasets/PrimaForja/supply-one-month-sample/order_lines.parquet' ol |
| JOIN 'hf://datasets/PrimaForja/supply-one-month-sample/orders.parquet' o USING (order_id) |
| JOIN 'hf://datasets/PrimaForja/supply-one-month-sample/customers.parquet' c USING (customer_id) |
| GROUP BY 1 ORDER BY 3 DESC |
| """).df() |
| ``` |
|
|
| `data_dictionary.md` / `data_dictionary.json` document every table and |
| column; `manifest.json` records the generation run (seed 20250 — |
| deterministic: the same seed regenerates this sample byte-for-byte). |
|
|
| ## What's inside |
|
|
| Orders, order lines, shipments, shipment lines, tracking events, |
| invoices, AR/AP ledgers, returns, backorders, purchase orders, inventory |
| (positions, monthly snapshots, adjustments, slotting), item catalog with |
| costs and price history, vendors with performance and scorecards, |
| carriers, promotions and campaigns, labor/facility/fleet costs, a margin |
| waterfall, and a C-level analytics layer (demand signals, forecast |
| accuracy, customer LTV, price elasticity, DC throughput, rep |
| performance). |
|
|
| Suggested ML tasks: demand forecasting, churn/LTV modeling, price |
| elasticity estimation, backorder risk classification, carrier OTD |
| prediction, anomaly detection on inventory adjustments. |
|
|
| ## The full product |
|
|
| The complete dataset — two years, ~800 million rows, plus a licensed |
| library of 77 analytics views that power the live executive dashboards — |
| is at **https://www.primaforja.com**, where you can explore the |
| dashboards built on it and request demo access. |
|
|
| ## License |
|
|
| **CC BY-NC 4.0** — © PrimaForja LLC. Free for research, learning, and |
| evaluation with attribution; commercial use (including resale or bundling |
| into paid products) requires a license — contact sales@primaforja.com. |
|
|
