Moduły MySales

Master Data ManagementMożliwości

A controlled operational layer for product, store, supplier, and commercial master data, built for retail teams that need clean inputs before forecasting, replenishment, pricing, promo, and assortment decisions can work reliably.

94%
Dokładność prognoz

Dokładność dla produktów stałych w Drogas

15-20%
Wzrost przychodów

Wzrost obrotu w Chudo Market po wdrożeniu

40%
Redukcja strat

Redukcja strat fresh w Blyzenko

Platforma AI

Jedna platforma AI łączy prognozowanie, uzupełnianie, ceny i promocje — sygnały płyną automatycznie między modułami, więc zamówienia, ceny i kampanie są zawsze zsynchronizowane.

Dane i integracje

Product master data screen

MySales product master data screen
Product hierarchy, SKU attributes, reference fields, and audit data in the MySales operational interface.
Przegląd modułu

Why retailers need master data management

Retail planning depends on trusted master data.

When SKU attributes, groups, brands, suppliers, UOMs, VAT rules, shelf life, or store links are incomplete or inconsistent, automated decisions inherit those errors.

  • Product hierarchies change faster than ERP cleanup cycles.
  • Category, brand, producer, and country fields are often inconsistent across source systems.
  • Missing shelf-life, UOM, VAT, and status data creates replenishment and pricing errors.
  • Business teams need controlled editing without losing auditability.
Kluczowe funkcje

Key capabilities

MySales supports master data management as a governed workflow, not just a static directory.

Teams can maintain reference data, inspect source fields, and review changes before they affect downstream processes.

Maintain SKU records with operational attributes such as item code, name, status, capacity, UOM, country, producer, brand, VAT, shelf life, and update history.

Manage product groups, subgroups, and category trees with SKU counts, branch-level views, and clear ownership of hierarchy changes.

Find missing, duplicate, or conflicting attributes before they affect forecasting, replenishment, assortment, pricing, or promotion workflows.

Standardize producers, brands, countries, stores, suppliers, and other lookup tables so teams work from one controlled vocabulary.

Track when records were updated, who changed them, and which source fields feed each planning process.

Efekty biznesowe

Business impact

Master data management improves the quality of every MySales module by reducing the hidden cleanup work behind planning decisions.

  • Cleaner inputs for forecasting and replenishment
  • Faster onboarding of new SKUs, stores, suppliers, and categories
  • Fewer exceptions caused by missing attributes or wrong hierarchy links
  • Better category visibility by branch, SKU count, brand, producer, and status
  • Stronger audit trail for commercial and operational changes
Model działania

Workflow

A typical MDM workflow starts with source-system synchronization and continues through controlled business review.

Import product, store, supplier, brand, and category data from ERP, POS, WMS, and commercial systems.

Map source fields into MySales dictionaries and product hierarchies.

Flag incomplete, duplicated, inactive, or conflicting records.

Let authorized users review and update attributes in controlled workflows.

Publish validated master data to forecasting, replenishment, pricing, promo, and assortment modules.

Implementacja i dane

Data and implementation

The module works best when connected to the systems that own core retail reference data.

MySales can expose technical field context for business users while preserving source-system traceability for IT and data teams.

  • Product master and SKU attributes
  • Product group and category hierarchy
  • Brand, producer, country, supplier, and store dictionaries
  • UOM, VAT, shelf-life, and status attributes
  • Source field mappings and update history
  • User roles and approval rules for controlled editing
Informacje

Recommended modules

Master data management strengthens the rest of the MySales decision stack.

Module
How it helps
Forecasting
Uses clean product hierarchy and attributes to improve model grouping, seasonality, and exception handling.
Replenishment
Depends on reliable status, shelf-life, UOM, store, and supplier data for automated ordering.
Pricing
Uses trusted product, brand, supplier, and category links for price rules and competitor matching.
Assortment Planning
Relies on accurate hierarchy, attributes, and SKU status to support add, keep, reduce, and delist decisions.