Samsara Beyond 2026 Keynote: new AI capabilities built for physical operations

Samsara Beyond Conference Highlights

Challenges in Visibility and Control

• The lack of visibility into trailer locations led to accidents, making it difficult to identify issues.

• Without control and insight, running the business effectively becomes impossible; a consistent method for identifying risks is essential.

• Samsara emphasizes customer feedback in product development, ensuring that solutions are tailored to real-world operational challenges.

Community Building at Samsara Beyond

• Over 4,000 attendees gathered for the fifth annual Samsara Beyond conference, highlighting community growth across various industries.

• The event serves as a platform for sharing insights on technology's role in solving operational problems.

• Recognition was given to long-term partners who have contributed significantly to building the community.

Insights from Operations

• Understanding operations requires hands-on experience; visiting sites provides valuable insights into infrastructure challenges.

• Recent visits included natural gas sources and food distribution centers, showcasing the scale of operations that support daily life.

Rising Costs and Operational Challenges

• A significant theme discussed was the rising cost of fuel due to geopolitical factors, impacting budgets heavily.

• Equipment costs have also increased dramatically over recent years, adding pressure on maintenance budgets which can consume up to 10% of operating costs.

Importance of Frontline Workers

• Acknowledgment was made for frontline workers who keep infrastructure running smoothly; their safety is a priority.

• Technology aims to streamline processes and enhance efficiency for these workers while reducing risks associated with their jobs.

Embracing AI in Operations

• The emergence of data overload presents new challenges; however, AI offers solutions by providing actionable insights from vast amounts of data.

• AI can automate routine tasks such as report generation and communication with frontline staff, freeing up time for more critical interactions.

Practical Applications of AI Technology

• Real-world scenarios were presented where AI could adjust vehicle settings automatically based on weather conditions or driver profiles.

• Monitoring equipment usage through AI can help manage maintenance schedules efficiently without overwhelming regional managers with paperwork.

Enhancing Driver Experience with Technology

• Innovations aim to improve drivers' experiences by providing timely information about customer sites or potential hazards during routes.

New Developments in Safety Features

• Introduction of advanced camera systems like the bird's eye view enhances driver awareness around vehicles in complex environments.

• Expansion of collision warning systems aims to reduce accidents during challenging maneuvers like backing up.

Community Data Utilization

• Collective data sharing has enabled features like pothole detection and alerts about dangerous intersections using community-sourced information.

AI-Driven Safety Enhancements in Fleet Management

Introduction to AI Ride Alongs

• The speaker introduces the availability of AI ride alongs in open beta, emphasizing their role in automating safety tasks.

• The AI analyzes a driver's complete history, considering over 45 risk factors such as road conditions and coaching history.

Driver Risk Assessment

• In Turnpoint's organization, the AI identified 300 out of nearly 4,000 drivers as very high risk for accidents.

• Turnpoint prioritizes coaching for these high-risk drivers while allowing lower-risk drivers to engage in automatic self-coaching.

Coaching Priority System

• The concept of "coaching priority" is introduced, highlighting its scalability and potential impact on safety programs.

• Emphasis is placed on the importance of driver involvement for the success of these initiatives.

Reimagining Driver Experience

Enhancing Communication with Drivers

• Arpan discusses the need to improve driver experience by minimizing distractions while ensuring effective communication.

• A demonstration shows how Samsara's cameras can deliver personalized briefings directly to drivers without using phones or additional screens.

Real-Time Updates and Navigation

• The AI agent provides real-time updates about safety scores, driving conditions, and specific risks during a driver's shift.

• Integration with CarPlay allows commercial drivers to access navigation features through voice commands, enhancing usability.

Streamlined Operations Through Technology

Two-Way Communication Innovations

• A scenario illustrates how dispatchers can communicate with drivers via camera systems instead of phones for safer interactions.

Comprehensive Driver Support System

• The end-to-end driver experience includes start-of-shift briefings, intuitive navigation powered by CarPlay, and two-way voice calling capabilities.

Partnership with UNFI: A Case Study

UNFI’s Commitment to Safety

• UNFI emphasizes its dedication to employee safety and satisfaction through innovative technology investments that enhance operational efficiency.

Insights from Beta Testing

• Tasin Shadwick shares insights gained from testing ride along tools that provide real-life feedback crucial for product improvement.

AI Applications in Maintenance Operations

Transforming Maintenance Processes

• Introduction of connected data and AI aims to streamline maintenance operations traditionally reliant on manual processes.

Diagnostic Capabilities

• The system decodes fault codes from vehicles' engines, providing actionable insights without requiring extensive mechanical knowledge from technicians.

Warranty Management Automation

• An automated warranty coverage check simplifies repair decisions by cross-referencing fault codes against warranty documents.

This structured summary captures key discussions around AI applications in fleet management focusing on safety enhancements, driver experience improvements, partnerships like that with UNFI, and innovations in maintenance operations. Each point is linked back to specific timestamps for easy reference.

Introduction to Connected Asset Maintenance Feature

Overview of the New Feature

• The connected asset maintenance feature automates vehicle maintenance tasks, allowing users to schedule queries for specific times (e.g., every Monday or Friday) .

• It identifies vehicles with similar faults and can draft work orders automatically, enhancing operational efficiency and reducing manual effort .

Acknowledgments

• Appreciation is expressed towards teams from Tennessee, Estes, and Herz for their collaboration in developing this feature over the past year .

• The speaker encourages attendees to think creatively about how AI can be integrated into their operations, introducing a new product area called Agent Studio .

Introducing Agent Studio

What is Agent Studio?

• Agent Studio serves as a workshop for users to implement AI solutions without needing coding skills; it utilizes existing Samsara data in plain English language templates .

• Users can explore various templates tailored for different operational needs, making it easier to customize AI applications for their specific requirements .

Example Use Case: Weekly KPI Report

• The weekly KPI report template automates the generation of reports that typically require significant manual input each week, saving time across multiple regions and operations .

• An example KPI report generated by AI showcases a summary dashboard with performance metrics (green/yellow/red indicators), highlighting key wins and areas needing improvement. This automation could save hundreds of hours annually for organizations .

Additional Features of Agent Studio

Geo-fence Alerts

• Beyond reporting, Agent Studio allows users to create voice agents that provide alerts when drivers enter customer sites. This enhances communication and safety during deliveries .

• Users can customize messages delivered by these voice agents using simple editing tools within the platform .

Scalability of AI Solutions

• The ability to scale these automated communications means companies can efficiently manage thousands of calls daily without overwhelming human resources .

Customer Insights: Pitney Bowes Case Study

Company Background

• Pitney Bowes processes over 15 billion pieces of mail annually and has partnered with Samsara since 2020 to enhance their operations through technology .

Operational Challenges

• They face challenges related to managing a hybrid fleet with various partners while ensuring effective maintenance programs are in place .

Benefits from Technology Integration

• Utilizing fault code insights has improved predictive analytics within their organization, helping them understand total operating costs better across multiple locations and vehicle types .

Future Perspectives on Transportation Technology

Embracing New Generations

• There is an urgent need to attract younger generations into transportation roles. Companies must leverage technology that resonates with tech-savvy individuals who may not see traditional driving jobs as appealing .

Importance of Driver Retention

• Retaining drivers is crucial; thus, integrating technology like AI helps bridge gaps between management and drivers by improving engagement and support systems .

Innovations in Shipment Tracking

Introduction of New Tracking Labels

• A new tracking label designed specifically for shipments was introduced. It features Bluetooth capabilities while being thin enough for easy disposal after use [].

Enhancing Shipment Visibility

• These labels allow real-time tracking throughout shipment journeys, providing visibility that transitions logistics from reactive responses to proactive management [].

Operationalizing Shipment Tracking

• The integration process involves linking these labels seamlessly into existing systems without adding complexity or requiring additional logins [].

Introduction to Shipment Tracking Innovations

Overview of New Shipping Technology

• The new shipping technology is operational and integrated into existing systems, providing enhanced visibility for shipments.

• A newly developed app allows users to scan shipment labels that are pre-activated by the printer, facilitating seamless integration into warehouse operations.

Managing Shipment Data

• After a shipment is sent, the focus shifts to managing and interpreting data effectively through a dashboard interface.

• The system enables "management by exception," allowing teams to identify delayed shipments proactively rather than reactively.

Enhancing Operational Efficiency with AI

Automating Customer Updates

• Teams can now automate customer notifications regarding delays in shipments, improving communication and service quality.

• This shift from reactive to proactive management allows for immediate handling of issues as they arise.

Performance Reporting Improvements

• Traditional reporting methods are cumbersome; however, AI can generate performance reports quickly, enhancing decision-making processes.

• The company achieved a 99.97% on-time delivery rate, showcasing improved operational efficiency through real-time data analysis.

Partnership with DCL Logistics

Collaboration Insights

• A partnership with DCL has been established to operationalize the new tracking label technology effectively.

• DCL has evolved from small-scale operations to handling thousands of shipments daily over nine years of collaboration with Samsara.

Industry Challenges Addressed

• Traditional carriers provide limited tracking updates; Samsara's continuous tracking offers significant improvements in visibility and reliability.

Future Vision for Shipping Technology

Revolutionary Changes Ahead

• Current technologies like RFID and GPS have limitations; Samsara’s solution is more cost-effective and scalable due to its existing network infrastructure.

Anticipated Industry Transformation

• The industry is moving towards proactive communication models that enhance visibility and customer satisfaction significantly.

Conclusion: Embracing Digital Transformation

Commitment to Innovation

• The focus remains on solving real-world problems while increasing operational efficiency through digital transformation initiatives.

Looking Forward

• Envisioning future operations in 2035 includes real-time tracking of materials, automation in labor-intensive tasks, and seamless human-AI collaboration.