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Data key to tackling forecasting challenges

FreightWaves SONAR

Businesses are prioritizing the speed of data propagation within their supply chains. According to Gold, NRF members have made significant investments in data analysis to improve their ability to predict consumer demand to prevent bloated inventory levels that many large retailers experienced around this time in 2022.

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Microsoft Dynamics 365 vs. Salesforce

Supply Chain Brain

Our businesses are overwhelmed with data. Thanks to digitization, we collect and store data on nearly every activity in our working day. However, just like a traditional filing cabinet full of physical files, this data is only relevant if you know how to use it. Case studies and more. Analyst reports.

eBook 69
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Maximize Ecommerce Supplier Relationships

Ship Monk

Supplier Relationship Management Supplier relationship management, SRM for short, is defined by Gartner as a business initiative that many companies undertake to build mutually beneficial relationships with suppliers. Adding an SRM layer simply forces you to analyze this data once in a while, and use the information to improve your business.

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Logistics Predictions: How Did We Do in 2022 and What Will 2023 Look Like?

Logistics Viewpoints

Let’s take a look at what happened with the major themes, as well as the research and analysis we conducted in 2022 to help determine what those themes will look like in 2023. In the same ecommerce study, over 72% of consumers experienced a delivery failure over a three-month period. Despite many calling for U.S. That’s pretty abysmal.

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Ways to Use AI for Supply Chain Optimization

ShipLilly

Gartner predicts that machine automation will become an increasingly crucial aspect of supply chain management. Cloud computing and big data offer opportunities for many businesses across the globe. For example, a comparative analysis of sales and inventory will raise red flags if there are shortages or gluts. Wrapping up.

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3 Compelling Reasons to Start Using Prescriptive Analytics

AIMMS

If you’ve read up on the latest topics in the field of data analysis, then you’ve probably encountered the term Prescriptive Analytics. Prescriptive Analytics is at the cutting edge of data science and companies are increasingly interested in exploring its benefits. billion in value by 2019. Additional resources.

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3 Compelling Reasons to Start Using Prescriptive Analytics

AIMMS

If you’ve read up on the latest topics in the field of data analysis, then you’ve probably encountered the term Prescriptive Analytics. Typically, organizations use Excel to start getting insights about what to do when, using data from transactional systems. Validating and finding errors is taxing. Additional resources.