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2. Demand data loading

This training presents the data structure used by Demand Planning and guides the load of each dataset in the Community Edition. The eight files follow the same process sequence, from 01 through 08.

Demand Planning overview

Demand Planning aims to generate a sales projection that combines two components:

  • a statistical foundation for sales projections;
  • collaboration among Planning, Sales, Marketing, and other teams in building the plan.

The demand plan is essential for make-to-stock operating models, particularly in long supply chains such as those that depend on imported products or components. Because this type of operation relies on a future sales projection to make inventory, production, distribution, and productive and logistics capacity decisions, the demand plan becomes the main input for the tactical and operational decisions that follow.

Data structure

In the Community Edition, the Demand Planning module has a straightforward data structure, consisting primarily of the master and transactional data shown below:

---
config:
  layout: elk
  elk:
    mergeEdges: false
    nodePlacementStrategy: NETWORK_SIMPLEX
---
flowchart LR
    %% Global wrapper keeps the three registration groups stacked and pointing to Sales on the right.
  subgraph registrations[" "]
    direction TB

    subgraph materialRegistration["Material Registration"]
      direction LR
      materialCharacteristics["Material<br/>Characteristics<br/><span style='font-size:10px;color:#64748b'>E.g.: Family, Category</span>"]
      materialCharacteristicValues["Characteristic<br/>Value by<br/>Material"]
      materials["Materials<br/><span style='font-size:10px;color:#64748b'>Finished Goods, Semi-Finished,<br>Raw Materials</span>"]

      materialCharacteristics --> materialCharacteristicValues --> materials
    end

    subgraph locationRegistration["Location Registration"]
      direction LR
      locationCharacteristics["Location<br/>Characteristics<br/><span style='font-size:10px;color:#64748b'>E.g.: Channel, Region</span>"]
      locationCharacteristicValues["Characteristic<br/>Value by<br/>Location"]
      locations["Locations<br/><span style='font-size:10px;color:#64748b'>Customers, Plants,<br>DCs, Suppliers</span>"]

      locationCharacteristics --> locationCharacteristicValues --> locations
    end

    subgraph unitRegistration["Units of Measure Registration"]
      direction LR
      globalConversions["Global<br/>Conversions<br/><span style='font-size:10px;color:#64748b'>E.g.: TON->KG</span>"]
      unitsOfMeasure["Units of<br/>Measure"]
      materialConversions["Material<br/>Conversions"]

      globalConversions --> unitsOfMeasure
      materialConversions --> unitsOfMeasure 
    end
  end

  sellout["Sales<br/>(Sell-Out)"]

  materials --> sellout
  locations --> sellout
  unitsOfMeasure --> sellout

%% Keep the outer registrations wrapper visually transparent.
style registrations fill:transparent,stroke:transparent,stroke-width:0px

Accessing Data Registration and Extraction

In the Community Edition, open the side menuDataData Operations. The catalog is organized from left to right as Theme, Group, Section, and Topic. Selecting a topic opens its API endpoint and the Download, Import, and, when applicable, Delete operations below the catalog.

Opening Data Operations

Catalog organized by Theme, Group, Section, and Topic

Download and Import for the selected topic

Load order

Order File Dataset Depends on
1 01_unit_of_measure.xlsx Units of measure
2 02_material_characteristics.xlsx Material characteristics
3 03_materials.xlsx Materials units and material characteristics
4 04_unit_conversions.xlsx Global unit conversions units of measure
5 05_material_unit_conversions.xlsx Material conversions materials and units
6 06_customer_characteristics.xlsx Location characteristics
7 07_locations.xlsx Locations location characteristics
8 08_sellout_history.xlsx Sales materials, locations, and units

Numbering is global: it indicates the order in which files are presented and loaded in this tutorial.

01. Units of measure

Units of measure are references used by materials, sales, inventory, routings, and bills of material. This tutorial registers UN, KG, and TON.

Loading the units-of-measure dataset

01_unit_of_measure.xlsx

Required action

Download the Excel file above and import it into the platform by following the Path and Import tabs.

Unit of Measure selected in the catalog

Units-of-measure import area

Units-of-measure dataset open in Excel

Field Meaning Values used in the tutorial
Unit of Measure Id Unique unit code and the key referenced by other datasets. UN, KG, TON
Description Name presented to the user. Units, Kilograms, Metric tons

Import the three rows through Import.

02. Material characteristics

Planning characteristics classify materials and will be used in the next training to build forecast clusters. This dataset registers each characteristic's name and type; its values are later provided in the material file columns.

Loading the material-characteristics dataset

02_material_characteristics.xlsx

Required action

Download the Excel file above and import it into the platform by following the Path and Import tabs.

Material Characteristics selected in the catalog

Material-characteristics import area

Material-characteristics dataset open in Excel

Field Meaning Values used in the tutorial
Material Characteristic Id Unique characteristic code. MATERIAL_STAGE, PRODUCT_FAMILY, PRODUCT_FORMAT
Description User-facing name and the column title in the material file. Material Stage, Product Family, Product Format
Type Type of accepted values. CATEGORICAL on all three rows
  • Material Stage identifies the material's process position: Raw Material, Roll, Semi-Finished, or Finished Good;
  • Product Family groups materials by family: Pulp, White Paper, or Tissue Paper;
  • Product Format describes the physical presentation: Pulp, Jumbo Roll, Skid, A4, Letter, or 12-Roll Pack.

03. Materials dataset

Materials represent raw materials, intermediates, and finished goods. The Material Stage, Product Family, and Product Format columns are included in the same file because those characteristics were registered in the previous step.

Loading the materials dataset

03_materials.xlsx

Required action

Download the Excel file above and import it into the platform by following the Path and Import tabs.

Material Master selected in the catalog

Materials import area

Material registration, planning parameters, and characteristics in one spreadsheet

Field Meaning Values used in the tutorial
Id Unique material code. 16 raw-material, intermediate, and finished-good codes
Description Full material description. Description corresponding to each code
Active Controls participation in planning executions. An inactive material's history can still be used by statistical models. TRUE or 1
Lifecycle Stage Commercial lifecycle stage. Blank because it is not used in this tutorial
Introduction Date Date from which the material is considered current. Blank
Discontinuation Date Date after which the material is no longer considered current. Blank
Default Unit of Measure (SNP) Base unit used by Supply Chain plans for production, purchasing, and transfers. TON
Sales Unit of Measure (DP) Optional Demand Planning reference unit. Blank; the effective forecast unit is confirmed in the cluster-combination configuration
Default Transfer Unit of Measure (DRP) Optional default transfer unit. Blank and outside this training's scope
Operational Model How the material is operationally supplied. MTS (make-to-stock)
Material Stage Material position in the production process. Raw Material, Roll, Semi-Finished, Finished Good
Product Family Commercial or production family used for grouping. Pulp, White Paper, Tissue Paper
Product Format Physical format or presentation. Pulp, Jumbo Roll, Skid, A4, Letter, 12-Roll Pack

Import the 16 materials through Import.

04. Global unit conversions

Global conversions record equivalences that apply to every material. They are used when the relationship between two units does not depend on the SKU, unlike the material conversions presented in the next step.

In this scenario, Sales history is in KG, while the forecast is generated and analyzed in TON. The global conversion between kilograms and tonnes is therefore required for the Demand Planning execution.

Loading the global unit-conversion dataset

04_unit_conversions.xlsx

Required action

Download the Excel file above and import it into the platform by following the Path and Import tabs.

UOM Conversion selected in the catalog

Global unit-conversion import area

Global unit-conversion dataset open in Excel

Field Meaning Value used in the tutorial
Origin Unit of Measure Id Unit in which the origin quantity is expressed. TON
Target Unit of Measure Id Equivalent target unit. KG
Origin Quantity Reference quantity in the origin unit. 1
Target Quantity Equivalent quantity in the target unit. 1000

The row establishes 1 TON = 1,000 KG. The platform also performs the inverse conversion from KG to TON.

05. Material conversions

This dataset records equivalences that depend on the SKU. For the eight finished goods, one UN corresponds to 0.25 KG or 0.40 KG, depending on the material.

The current history is already in KG, and the scenario's productivities are in TON. The global KG ↔ TON conversion in file 04 is therefore sufficient for the current forecast. File 05 completes the UN → KG → TON network so that a future input or analysis expressed in units can also be converted.

Loading the material-conversion dataset

05_material_unit_conversions.xlsx

Required action

Download the Excel file above and import it into the platform by following the Path and Import tabs.

UOM Conversion by Material selected in the catalog

Material-conversion import area

Material-conversion dataset open in Excel

Field Meaning Values used in the tutorial
Material Id Material to which the specific equivalence applies. Eight finished goods
Origin Unit of Measure Id Origin-quantity unit. UN
Target Unit of Measure Id Equivalent target unit. KG
Origin Quantity Reference quantity in the origin unit. 1
Target Quantity Weight of one unit of the material. 0.25 or 0.40

06. Location characteristics

These characteristics classify demand locations by region and channel. As with materials, this dataset registers the characteristics, while their values are provided later in the location file itself.

Loading the location-characteristics dataset

06_customer_characteristics.xlsx

Required action

Download the Excel file above and import it into the platform by following the Path and Import tabs.

Location Characteristics selected in the catalog

Location-characteristics import area

Location-characteristics dataset open in Excel

Field Meaning Values used in the tutorial
Location Characteristic Id Unique characteristic code. CUSTOMER_REGION, SALES_CHANNEL
Description User-facing name and the column title in the location file. Customer Region, Sales Channel
Type Type of accepted values. CATEGORICAL on both rows
  • Customer Region identifies the served region: Central, Coastal, or East;
  • Sales Channel identifies the sales channel: Direct or Indirect.

07. Locations dataset

Locations represent suppliers, plants, distribution centers, transshipment points, customers, or demand regions. Customer Region and Sales Channel values are loaded in the final columns of this same file; there is no separate load for those values.

Loading the locations dataset

07_locations.xlsx

Required action

Download the Excel file above and import it into the platform by following the Path and Import tabs.

Locations selected in the catalog

Locations import area

Location registration, address, and characteristics in one spreadsheet

Field Meaning Values used in the tutorial
Location Id Unique location code. It may be an ERP code, internal abbreviation, customer, or region/channel combination. 12 codes
Description Full location description. Description corresponding to each code
Active Controls participation in planning executions. Its history can still be used by statistical models when inactive. TRUE or 1
Location Type Role of the location in the network. Internal for plant/DC, Supplier for supplier, and End Client for customer or demand region
Country, State, City Optional geographic reference. Reference data not used by this tutorial's calculations
Customer Region Region associated with End Client locations. Central, Coastal, East
Sales Channel Channel associated with End Client locations. Direct, Indirect

Planning-book availability, default unit, and indirect safety-stock fields stay blank because they do not participate in this Demand Planning flow.

08. Sales

In OpsFactor, Sales history may represent sell-in or sell-out. The Community Edition provides sell-out, which records a past sale—typically associated with billing—from a location. This tutorial uses the term Sales because it is more direct for the person running the process.

Sales history is the input to Demand Planning statistical models. For monthly or weekly projections, load at least two years of history so that models such as Holt-Winters and ARIMA have at least two complete seasonal cycles.

The file contains 38 months, from January 2024 through February 2027, for eight finished goods and six customer locations. Every quantity is in KG; the global conversion in file 04 makes it possible to generate and analyze the forecast in TON.

Loading the Sales dataset

08_sellout_history.xlsx

Required action

Download the Excel file above and import it into the platform by following the Path and Import tabs.

Sales / Sell-out selected in the catalog

Sales import area

Sales dataset open in Excel

Field Meaning Values used in the tutorial
Document Id Unique sales-record identifier. One code per row
Reference Date Sales reference date. First day of each month
Origin Location Id Customer or demand region that originated the history. It must exist in the location dataset. Six End Client locations
Material Id Sold product. It must exist in the material dataset. Eight finished goods
Unit of Measure Id Unit in which the quantity was recorded. KG on every row
Quantity Quantity sold for the specified date, location, and material. Positive historical quantity

Import the 1,824 rows last, after materials, locations, and units of measure have been registered.

Return to the course map or continue to the 3. Demand Forecast Overview.