How AI is positively impacting supply chain management

💡 1 CASE STUDY

How AI-powered Infrastructure is Revolutionizing Supply Chain Management

Supply chains are embracing artificial intelligence to gain new levels of visibility and efficiency. AI is extracting insights from datasets and enabling predictive capabilities. These are some of the ways AI is helping companies optimize their supply chain operations on a new level.

Automated Inspections

Computer vision AI can automatically scan products and their various components for defects during manufacturing. This allows quality control issues to be flagged in real-time, rather than relying on random inspections, improving the manufacturing processes.

Optimized Logistics

Analyzing data like average delivery times, weather, and fuel costs enables AI systems to continuously optimize transportation routes. This can reduce costs and delivery times. AI has the ability to consider real-time conditions, to dynamically adapt logistics plans.

Proactive Maintenance

Sensors on equipment generate performance data that AI analyzes to predict maintenance needs before breakdowns occur. This prevents costly downtime and AI also identifies to improve efficiency and lifespan.

While artificial intelligence is already delivering major benefits, its full potential relies on increased data sharing between companies and their internal systems. Supply chains that apply AI in the most optimal way will gain strategic advantages while minimizing waste and costs.

Two examples of AI use cases for Supply Chains:

1. Predictive-reorder triggers - AI systems analyze product sales data and internal inventory levels to determine optimal reorder points. The AI can be trained to consider trends, seasonality, and external factors to trigger orders in a timely manner and prevent overstocking and shortages.

2. Dynamic routing - Supply chain managers rely on AI to continuously find the ideal time & cost-efficient routes for deliveries, based on real-time traffic and weather conditions. AI can process previous delivery data to optimize future ETAs.

Increasingly we are seeing AI act as a scalable assistant that removes bottlenecks and enables adaptive supply chains to become more efficient.

🛠️ 2 TOOLS

Giraffe.build(🔗 link)

This tool uses machine learning to create a suite of tools for design professionals. A generative drawing tool and high-volume data mapping are two major aspects of this software.

SEOwriting.ai (🔗 link)

SEOwriting is a tool that crafts SEO-optimized writing content for users. It allows users to create blogs, articles, and written content in 45+ languages with one click.

🥽 3 TRENDS

New OpenAI update brings visual and auditory capabilities to ChatGPT(🔗 link)

Generative AI continues to advance at a rapid pace with the newest version of GPT-4V.

OpenAI just released a new update for ChatGPT that unlocks a greater level of user interaction with the language model.

This image-driven and multi-conversational version of ChatGPT now has the ability to speak, listen, and process imagery.

Examples:

• Users can upload Figma diagrams and ChatGPT can produce front-end deployable software code based on the designs.

• Users can upload pictures of the contents in their fridge and pantry, and GPT can create a meal plan with accompanying recipes.

This upgrade also comes with the ability for GPT to finally search the internet live providing more accurate and current results.

The new version of ChatGPT has been rolled out for Plus and Enterprise subscribers, with a developer version set to be released in the coming weeks.

Amazon is investing $4 Billion in artificial intelligence (🔗 link)

The artificial intelligence race continues to heat up at the highest levels of enterprise.

Amazon just announced an investment round of $4 billion into AI company, Anthropic.

The company was founded by former OpenAI execs Dario and Daniela Amodei who have positioned the company as a safer alternative to GPT-4. AWS will now operate as Anthropics main cloud provider, while also assisting with the building, training, and deployment of Anthropics future language models.

This is likely to give a boost to Anthropics most popular LLM Claude which can handle large, sophisticated documents and data sets.

The NSA is creating a new AI security center (🔗 link)

The National Security Agency recently stated its plans to create an artificial intelligence security center.

The move by the NSA is a crucial step forward in developing & integrating language models, and other AI-powered technology into US intelligence systems.

NSA’s AI center will be incorporated into the already existing CCC (Cybersecurity Collaboration Center), that works against threats from foreign enemies of the United States. The NSA recognizes that the US maintains an advantage in artificial intelligence, and they’re not going to take it for granted.

Rogue hacking and election interference are two of the main threats that US cybersecurity leaders are hoping AI will assist in identifying and flagging.