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AgiSight Unified Data Model

Navigate through the maze of intricate and disparate supply chain data effortlessly with Agillitics’ Supply Chain unified data model, simplifying complexities and illuminating streamlined pathways for informed decision-making.

Moving gif showing data from many systems flowing into a unified data model for analytical processing by the AgiSight platform

"With AgiSight's supply chain unified data model, we now have an unparalleled insight into our warehouse operations. It provides a comprehensive view of our labor force, seamlessly integrating manual, WMS-driven, and automation-driven tasks. This holistic perspective allows us to truly understand a 'day in the life' of our employees, enabling us to optimize workflows, improve efficiency, and enhance overall productivity."

-Fortune 50 Retailer
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What is a Supply Chain Unified Data Model?

A Supply Chain Unified Data Model (UDM) is a comprehensive data platform designed to integrate and standardize data across various aspects of the supply chain, spanning from procurement to distribution. The UDM aims to streamline operations by establishing a common language and structure for organizing, storing, and analyzing data related to inventory levels, transportation logistics, supplier information, demand forecasting, labor management, and more.

By centralizing data in a unified format, organizations gain a single source of truth for their supply chain, enabling better decision-making, improved collaboration among stakeholders, enhanced agility in responding to market dynamics, and ultimately, greater efficiency and cost-effectiveness throughout the entire supply chain ecosystem.

UDM Overview

Overview of a unified data model working with supply chain systems showing both inputs and outputs
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Unified Labor

Agillitics unified data model plays a pivotal role in providing comprehensive labor metrics, especially in scenarios where employees engage with multiple systems throughout their workday, such as a warehouse associate who alternates between picking orders on an RF Device via the warehouse management system and using an Autostore UI through the Autostore system. By integrating data from these disparate systems into the unified model, businesses gain holistic insights into employee productivity, efficiency, and performance. This integration enables seamless tracking of key metrics like order fulfillment rates, time spent on various tasks, error rates, and overall throughput. This allows decision-makers to accurately assess labor utilization, identify bottlenecks, and implement targeted improvements to optimize operations across different platforms.

Unified Logistics

Agillitics unified data model plays a crucial role in providing end-to-end visibility across complex supply chain processes, exemplified by the journey of a purchase order. From its initiation in an ERP system to its delivery to the customer, each step involves different systems and processes. Our unified data model ensures seamless integration and communication between these disparate systems, enabling real-time tracking and monitoring of the purchase order's status at every stage. For instance, as the order moves from the ERP to shipping through a carrier transportation system, then to the warehouse via a freight carrier system, and further through warehouse operations such as receiving, picking, packing, and shipping, the unified data model aggregates and organizes relevant information, offering stakeholders comprehensive visibility into the order's progress. This visibility allows for timely decision-making, efficient resource allocation, and ultimately enhances customer satisfaction through accurate delivery timelines and proactive issue resolution.

Unified Network

Agillitics unified data model plays a pivotal role in enabling network-level visibility, especially in scenarios like that of a retailer operating multiple warehouses with disparate database instances and varying warehouse management systems (WMS). For instance, consider a retailer with five warehouses, each running its own database instance and utilizing two different WMS systems. In such a complex setup, our unified data model acts as the linchpin, harmonizing disparate data structures and schemas into a cohesive framework. By integrating data from all warehouses and standardizing metrics such as units per hour (UPH), costs, and inventory, retailers gain a holistic view of its operations across the network. This allows for seamless comparison and analysis, facilitating informed decision-making, optimizing resource allocation, and enhancing overall efficiency. Without our unified data model, the retailer would struggle with siloed information, inconsistent metrics, and inefficiencies in data aggregation, hindering its ability to effectively manage and optimize its warehousing operations.

Achieve Operational Optimization with a UDM

Deploy unified data model powered analytics and insights for continuous end-to-end optimization.
  • Improved Data Consistency and Accuracy: By consolidating data from various supply chain software vendors into a single, unified model, companies can ensure greater consistency and accuracy of their data. This eliminates discrepancies that may arise from different vendors' terminology or data formats, enhancing overall data quality.
  • Enhanced Visibility and Insights: A unified data model provides a comprehensive view of the entire supply chain by integrating data from multiple sources. This increased visibility enables companies to gain deeper insights into the lifecycle of certain entities such as ASNs or orders as multiple vendors contribute to the information repository.
  • Streamlined Data Integration and Collaboration: Normalizing supply chain data from different vendors facilitates seamless integration and collaboration across the supply chain ecosystem. This streamlines communication and data exchange between various stakeholders, such as suppliers, manufacturers, distributors, and retailers, leading to improved coordination and efficiency.
  • Facilitates Network-Level Reporting and Analysis: Unifying disparate data from different warehouses and supply chain entities into a single entity enables network-level reporting and analysis. This holistic view of the supply chain network allows companies to identify trends, patterns, and opportunities for optimization across their entire operation, leading to more strategic and effective decision-making.

Delivering Supply Chain Interconnectivity

diagram showing how a supply chain unified data model connects an entire network

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Additional Content

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Why the Silos? 

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August 7, 2024
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Blog Posts
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Why the Silos?  by Daniel Breiner For years, we have observed how many companies manage their supply chains through a fragmented structure, …

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Embracing Low-Code Platforms for a Unified Supply Chain 

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July 25, 2024
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Blog Posts
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In today's fast-paced and data-driven world, supply chains are becoming increasingly complex. Organizations are constantly seeking ways to streamline their operations, improve collaboration, and enhance visibility across their supply chains. Enter the age of low-code analytics platforms – a paradigm shift in the direction of democratizing access to data and advanced analytics such as predictive or prescriptive insights. As the industry rapidly traverses this path, it begs the question: What are the benefits of deploying these platforms for end-to-end unified supply chain analytics? 

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Understanding Cost to Serve with AgiSight

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June 25, 2024
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Blog Posts
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Understanding Cost to Serve with AgiSight by Robert Fulghum Within network optimization, a cost to serve model calculates the comprehensive cost of …

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Transforming Your Supply Chain: From Batch Processing to Change Data Capture

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March 20, 2024
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Blog Posts
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Transforming Your Supply Chain: From Batch Processing to Change Data Capture by Reed Stepleman The Need for Agility in Today’s Supply Chain …

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Power BI Dashboard Design for Faster Rendering 

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February 27, 2024
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Power BI Dashboard Design for Faster Rendering  by Kaitlyn Joyce In today’s data-driven world, the ability to quickly access and analyze data …

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