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Data Management with PLAIO

An overview of the Data Management function in the PLAIO Platform.

Overview

Data Management is where your supply chain is defined inside PLAIO. It's the structured representation of your products, network, demand, and supply policies — the foundation every plan, forecast, and schedule is built on.

You can find it in the left-hand navigation under Data Management → Overview.

Purpose

PLAIO's planning intelligence depends on data being structurally consistent and logically connected — not perfect. Data Management gives you a single place to:

  • Review what data is currently loaded

  • Upload or update data via Excel

  • Configure planning parameters through worksheets

  • See how your entities relate to one another

Data Categories

Data in PLAIO falls into distinct categories, each playing a unique role in planning. Data categories will only appear if the related modules are within your commercial agreement.

Master Data

Defines the structure of your supply chain — the entities and relationships that don't change day-to-day.

  • Items — products, SKUs, raw materials

  • Bills of Material (BOMs) — component relationships

  • Locations — plants, warehouses, suppliers, customers

  • Resources & Hierarchies — equipment, lines, organizational groupings

Demand Data

Represents expected market needs over time. Demand initiates the planning process and propagates through supply and production models.

  • Forecasts (ML-generated and manual)

  • Firm customer orders

  • Derived demand from BOMs and production requirements

Supply Data

Defines how demand is fulfilled — where planning decisions become concrete.

  • Planned receipts and on-hand inventory

  • Order Policies (replenishment rules)

  • Supplier Constraints (lead times, MOQ, IOQ, review periods)

Production Data

Describes the physical layout and planning complexities of your shop floor — the resources, capacities, and constraints that shape how production can actually be scheduled.

  • Production Constraints — sequencing rules, changeover requirements, and capacity limits

  • Downtimes — planned periods when resources are unavailable

  • Overrides — manual adjustments planners apply on top of default planning logic

How to Upload Data

From Data Management → Overview, click the upload button for the relevant entity. Each upload guide lists required and optional fields.

  • On your first import, PLAIO asks you to map your Excel columns to PLAIO fields

  • The mapping is remembered for all future imports of that entity

  • For automated integrations, contact your Customer Success Manager

Worksheets vs. Uploads

Some data can be configured directly in PLAIO worksheets without re-uploading:

  • Order Policies worksheet — create and assign replenishment policies

  • Supplier Constraints worksheet — adjust lead times, MOQ, IOQ inline

  • Items master data — assign policies to items

Worksheets are best for ongoing maintenance. Excel uploads are best for bulk changes or initial loads.

Best Practices

  • Get the structure right first, then refine data quality over time. PLAIO produces stable plans even with imperfect data, as long as relationships are consistent.

  • Upload master data before transactional data. Items and Locations must exist before orders or constraints can reference them.

  • Use clear, unique IDs. PLAIO uses these to link entities — avoid duplicates in master data, and capture relationship-specific terms (like supplier lead times per plant) in the appropriate constraint worksheet rather than duplicating master data.

  • Trust PLAIO's validation. The upload interface flags issues at import time, so you don't need to pre-validate exhaustively.

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