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Streamlining Success: Unveiling the Power of Order Management Software in Supply Chain Optimization

SCMDOJO

In the supply chain, order management and inventory management play significant roles in rapid growth. Manually handling all this is expensive and more time-consuming. It has three major parts: Inception of order; Order readiness (sorting, collecting, packing, and dispatch); Inventory administration.

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Key Trends and Themes for Supply Chain and Logistics in 2024

SCMDOJO

In 2024, the logistics and supply chain industry will continue its transformative journey, driven by technological advancements and growing consumer expectations. According to industry reports, over half of business leaders acknowledge the need for supply chain improvements, with 52% believing they could enhance their operations.

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Technology Support in Integrated Business Planning: Automation, Augmentation and Human Centricity

Supply Chain Trend

Preview In his 2019 Foresight article, Niels van Hove examined eight technological hurdles that must be overcome to enable autonomous or ‘lights out’ supply-chain planning. He reasoned that to support such planning we need to implement a third wave of integrated supply-chain planning software.

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The Intelligent IBP Manifesto – key principles for a new planning paradigm

Supply Chain Trend

Intelligent IBP effectively combines human and machine strengths with good decision practices to consistently make timely, high-quality, horizon agnostic business decisions. I think it is time to update the IBP belief sytem to be more reflective of current times, technology & ways of working, and create a modern IBP vision.

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A Guide to Successful Business Process Transformation 

Pipefy

Following recent events like the pandemic, the shift to non-office work models, and supply chain pressures, the demand for business process transformation has accelerated. Resistance to change is not only a natural thing during times of transformation, it’s also a sign that leaders should heed in a timely manner.

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Maximizing SaaS application analytics value with AI

IBM Supply Chain Blog

They offer app developers on-demand scalability and faster time-to-benefit for new features and software updates. Broadly speaking, application analytics refers to the process of collecting application data and performing real-time analysis of SaaS, mobile, desktop and web application performance and usage data.