Logistics
Features
Explore some of the innovative features that make Skil.AI virtual assistants the perfect efficiency-boosting addition to any business.
Logistics
How AI is changing logistics An overview of AI use cases in supply chains and logistics
LISA: Your all-in-one transformer in LogisticsLisa acts as a central hub, always accessible to link users with different services and operations. As a completely tailored solution, Lisa can be integrated into your business in many ways to match your precise needs and business model. AI is a technology with the potential to transform every industry in the world, and logistics is no exception to this. Many of these transformational changes are already happening, and there are many more to come. Ranging from predictive analytics to automated customer service, more joined-up services, and more, the possibilities are almost endless to improve the industry. In fact, recent research puts the potential gain for logistics companies at up to $2 trillion per year. But with such a wide scope of potential applications for AI in logistics, what is available right now that you can implement into your operations for the greatest impact on your bottom line? Here, we break down some of the key use cases for AI in logistics to improve efficiency, reduce running costs, and save time. What is AI in logistics? AI enables software platforms to gather and analyse data. Using advanced algorithms and rapidly repeating processes the software can then identify specific patterns and features. Advancements in computing and data storage have enabled the storage use of enormous amounts of data, so these patterns and features can be used to get meaningful information, make predictions, and more. Logistics and supply chains present particularly useful opportunities to collect and use data, as the scales of operations are often so vast, so there is a wealth of data to draw from. Using this data, AI platforms can improve efficiency of key processes, helping to streamline the industry from the ground up.
How can Skil.AI help? Our transformational AI virtual assistant, Lisa, provides a central point of contact for employees and customers to get things done more efficiently. Using advanced conversational AI, Lisa can communicate naturally and perceive meaning effectively in a huge variety of contexts, helping to automate many key processes associated with supply chains and logistics, both internally and externally. 1.Omni-Channel accessibility Accessible via many different convenient platforms, including an in-browser chat, email, SMS, WhatsApp, Facebook Messenger, and more. 2.Multi-language support Support for a wide range of languages, with automatic recognition and seamless transition between different options. Ideal for the international operation often associated with the logistics industry. 3.Voice recognition Advanced voice recognition enables users to communicate complex concepts rapidly and caters to the varied preferences of different users.
Use cases of AI in logistics:Warehousing automation, For logistics businesses, any small gain in efficiency in the warehouse can translate into huge cost savings for the wider operation. AI, applied strategically, can be one of the most effective tools to boost efficiency in the warehouse. Many companies are already integrating such technologies to transform warehousing, including giants like Amazon and Google, along with more recent innovators such as Ocado in the UK. In a warehousing context, AI can be used to:
- Gather and analyze data – AI can collect and automatically analyze large quantities of information relating to incoming and outgoing items, stock levels, and so on.
- Predict demand – Using the information that’s been gathered, predictive analytics, powered by AI, can accurately estimate future demand. This can help businesses deal with demand fluctuations more efficiently and at a reduced cost.
- Coordinate and automate operations – AI-powered software can link up services that may otherwise be disconnected. For example, in practice this could mean automating the ordering of stock in anticipation of future demand fluctuations or automating packaging of orders. Lisa can connect employees with inventory management systems, seamlessly linking the two and providing a portal to ask questions, make commands, and track key metrics.
Improving the customer experience AI can also be hugely beneficial in a customer-facing context, helping to streamline communications and provide a more responsive, more capable, and overall more useful service. Many businesses already utilize some form of virtual assistant, or chatbot, as part of their customer experience strategy, but many of these are lacking in the sophistication offered by AI-supported platforms. Powered by AI, virtual assistants can provide: Accessible support- The multi-language and omni-channel support make the Lisa virtual assistant easily accessible to any customer that requires support. Additionally, it’s available 24/7, so customers can get in touch at any time, wherever they are in the world. Automated escalation The majority of inquiries can be handled automatically by Lisa. However, for customers with more complex needs, Lisa will automatically escalate to a customer support agent, efficiently delivering targeted support whenever needed. Integration with services Lisa can be fitted out with custom integrations to match your specifications, allowing customers to make direct payments, check order status, get location data, and much more, all from within the chat interface.
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