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5 Mind-Blowing Uses for Enterprise Artificial Intelligence

By LLamasoft Editorial Team  December 18, 2019

Artificial intelligence (AI) is changing the ways businesses do business and consumers consume. From initiatives like customer-centricity and inventory management to predicting the future and helping human lives, the use cases for AI are seemingly limitless.

LLamasoft works with many of the world’s largest enterprises across more than a dozen industries – all of which are impacted by the advancements of AI and machine learning (ML). After our recent acquisition of Opex Analytics, we are sharing this blog to lay out a few interesting and impactful enterprise applications for AI. What AI application is most fascinating to you? Let us know by commenting on our LinkedIn post!

Distribution

AI can play a major role in addressing the driver shortage and eliminating safety concerns related to human error while transporting goods. Some companies are aiming for full automation with driverless fleets (like UPS) but businesses can also use AI to partially automate or provide driver assistance during the distribution process. This equates to shortened lead times and increased shipping capacity which can lead to tremendous savings within a supply chain network. Businesses are also using AI for delivery automation and saving money on electricity. Not only that, AI can help track trends, pre-empting requests and enhancing last-mile delivery – a key aspect of global health supply chains.

Global Health and Sustainability

From helping doctors diagnose to combatting texting and driving, AI has the potential to have a significant, positive impact on the health of our world. Universities, global leaders and technology leaders are exploring ways AI can be used to expand planetary support systems such as climate stability, biodiversity and oceanic research. Meanwhile, innovators are discovering ways to use AI to lessen food waste. Learn more about how supply chains and technology impact global health here.

Inventory

Effective inventory strategies and policies are becoming more difficult to manage and develop. Companies are expanding global operations, increasing the number of locations of trading partners and proliferating product offerings in the face of increased demands from customers. AI and computer vision are enhancing inventory management and are also helping identify counterfeits.

Marketing

This form of AI is very present in our everyday lives without us realizing. Have you ever seen an ad on Facebook for a pair of shoes you browsed upon a few moments ago? You can thank AI for that. Social media and online platforms heavily utilize AI for personalization, remarketing and AI-powered chatbots. Marketers can also benefits from the power of utilizing AI-driven demand forecasting tools to plan for campaigns and predict consumer behavior.

Demand Modeling and Forecasting

LLamasoft Demand Guru users are able to leverage AI-powered self-learning to determine internal and external causals. This helps reduce bias and subjectivity in demand modeling, since using historical data only tells a portion of the story. With AI segmentation techniques that self-learn, business leaders can identify key patterns, group like items and prioritize actions to more accurately predict demand. Sound interesting? Check out this podcast to learn more about the new ways to deliver and predict demand.

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