Grab, a leading food delivery and rideshare company in Southeast Asia, uses OpenAI’s GPT-4 with vision fine-tuning to process millions of street-level images collected from drivers, enabling it to accurately identify traffic signs and lane dividers and reduce manual mapping labor. This approach yields more reliable, hyperlocal map data that supports their ride-hailing, delivery services, and enterprise clients.

Uber is developing an AI assistant using OpenAI's GPT-4o to guide drivers in transitioning to electric vehicles.

Grab, a leading food delivery and rideshare company in Southeast Asia, uses OpenAI's GPT-4o with vision fine-tuning to enhance their mapping data for GrabMaps. By fine-tuning GPT-4o with only 100 examples, they taught it to correctly localize traffic signs and count lane dividers from street-level imagery collected by their drivers.

PODS used Gemini to create “the world’s smartest billboard” for its trucks, that adapts to each Neighbourhood in New York city and changes in real-time.

Gojek (a “super app” similar to Uber but for Indonesia) uses AI to allow customers to use voice commands to complete things like bill payments and money transfers.

UPS Capital uses AI together with UPS data to provide a confidence score for shippers to determine the probability of a successful delivery.

Alaska Airlines is developing natural language search, providing travelers with a conversational experience powered by AI that’s akin to interacting with a knowledgeable travel agent. This chatbot aims to streamline travel booking, enhance customer experience, and reinforce brand identity.

SNCF, in collaboration with Alp Valley and partners, integrated Meta's Llama 3.1 to create a multilingual, voice-enabled virtual assistant for Paris' Gare du Nord. Unveiled at Vivatech Paris and the Paris 2024 Summer Olympics, this assistant enhances passenger experience by providing real-time train information and multilingual support, demonstrating advanced module development and efficient workflow validation.

London Heathrow Airport uses Copilot Studio to enable their “Here to Help” team with a custom AI copilot, providing real-time answers to customer questions via Microsoft Teams. The AI aggregates information from various sources like internal FAQs and public websites, improving the passenger experience and boosting the confidence of the non-operational staff assisting passengers.

Kinaxis and Dematic are building data-driven supply chains to address logistics use cases including scenario modeling, planning, operations management, and automation.

UPS is building a digital twin of its entire distribution network, so both workers and customers can see where their packages are at any time.

Uber is using AI agents to help employees be more productive, save time, and be even more effective at work. For customer service representatives, they’ve launched new tools that summarize communications with users and can even surface context from previous interactions, so front-line staff can be more helpful and effective.

Alaska Airlines is developing a personalized travel search experience using advanced AI techniques, creating hyper-personalized recommendations that engage customers early and foster loyalty through AI-generated content.

Air India integrates Microsoft Copilot for Microsoft 365, including a custom plugin for Microsoft Teams, to streamline operational data analysis and decision-making. This allows teams to quickly analyze flight performance, delays, and other key metrics through natural language queries. The solution enhances collaboration across departments, boosting efficiency, reducing operational costs, and improving the employee experience.

CMA CGM, a global logistics company operating in over 160 countries, uses Mistral's AI models to power MAIA, their internal personal assistant. MAIA can chat about documents, perform translation and summarization, and integrate expert chatbots using RAG. High accuracy scores led CMA CGM to choose Mistral as their generative model of choice. MAIA has been deployed to thousands of employees, with plans to expand to all staff.

An Post uses Microsoft Copilot Studio to create a self-service digital assistant that helps customers get answers to questions about postal products, track packages, and enhance efficiency, supporting their digital strategy and improving the customer experience.