Beyond Efficiency: How GenAI Unlocks Digital Economic Value in Logistics
Joel Sellam
Logistics tech leader | Multi-time Founder | Innovation scouter | A.I and deep learning expert
A fully automated, cognitive supply chain driven by machine learning-powered predictive analytics, IoT inventory management, and fully automated AI data management is no longer a dream.?
At the heart of this transformation lies the power of generative AI (GenAI) to tackle one of the most pressing challenges in modern logistics: managing unstructured data. It makes up 85% of data in the supply chain. And all of it is unusable by decision-makers because traditional systems struggle to mine meaningful insights from free text, voice notes, handwritten invoices, scans and attachments.?
This blog explores how GenAI solutions, such as those offered by Stargo, can transform operations by transforming semi- and unstructured data structured data, readable by machines, to create digital economic value.
What is Digital Economic Value??
The concept refers to the measurable economic benefits of both financial and non-financial digital assets. This includes your enterprise’s data, advanced technologies, and digital infrastructure (WMS, TMS ERP). Within freight, logistics and supply chain organizations, this value is measured through improved efficiency, decision-making, and resilience.?
What is Unsgrucured Data?
Unstructured data cannot be easily stored in traditional column-row databases, and enterprises must rely on AI and ML to analyze it.
Unstructured data comes in all formats:
Drowning in Data, Thirsty for Insights?
One key challenge in realizing digital economic value is the proliferation of unstructured data. According to IDC, it’s increasing at an annual rate of 55-65%, and it’s estimated that 85% of supply chain data is unstructured.
The problem is that unstructured data exists without a predefined data model that systems like WMS, TMS and ERPs can read. But wait, there’s a bright side. Mining your enterprise’s unstructured data can increase annual revenue by 20%.?
Stargo GenAI Connects the Dots Between Your Unstructured Data
Every piece of this data puzzle holds valuable information, but extracting and acting on it has been a monumental task for the tech stacks of freight, logistics and supply chain to process – until now.
Stargo's GenAI data automation empowers procurement, operations and sales departments.
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Stargo’s GenAI-powered route and rate optimizations? include the following:
With data breaches costing companies $3.86 million (IBM), Stargo’s GenAI data automation offers end-to-end encryption, secure access controls, data anonymization techniques and compliance with global data protection regulations throughout the data lifecycle.?
In addition, Stargo eliminates vulnerabilities in semi-structured data and APIs, which are common entry points for breaches, to ensure secure data management and transmission
Stargo doesn’t only transform unstructured data into a 20% increase in revenue.
Stargo Solves the Problem of Unstructured Data?
Poor data quality and the resulting flawed decision-making are costing the US economy an estimated $3.1 trillion annually due to the inability to manage and harvest unstructured data. To solve this problem in the global supply chain, we’ve been training our proprietary GenAI platform for four years before ChatGPT went mainstream.
Ready to Unlock Digital Economic Value?
By leveraging Stargo's GenAI-powered solutions, freight, logistics and supply chains can transform unstructured data into a strategic asset, unlocking significant digital economic value through improved efficiency, decision-making, and sustainability.?
Contact Stargo to schedule a demo today.
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Chairman/ CEO at PAULIZA LTD
4 个月Thanks for sharing