OUR VISION

The biggest challenge for delivery and logistics operations today is how to become more consumer-centric without sacrificing operational efficiency.

At PACKAGE.AI, we’re creating a software service that optimizes last-mile logistics management. Our intelligent software enables last-mile operations to offer consumers more choice, control, transparency and responsiveness while keeping operational efficiency in check.

The system autonomously interacts with consumers at every touch-point of the order life-cycle based on real-time optimization of the underlying last-mile resources. We leverage machine learning to continuously improve resource utlilization and customer satisfaction.

WHY COMPANIES CHOOSE PACKAGE.AI

  • Higher service levels

    • Accurate delivery times, booked in advance
    • Shorter time windows
    • Ability to change schedule anytime
    • Real-time updates on the day of delivery
    • Proactive feedback management & insights
  • Improve operational efficiency by up to 30%

    • Reduce failed deliveries
    • Optimize resource utilization
  • Reduce labor costs by up to 70%

    • Intelligent, automated customer support
    • Reduce manual planning and dispatching

WHAT CUSTOMERS ARE SAYING

  • “PACKAGE.AI helped us increase our Google rating by 40% and cut our back-office and customer support load by 50%”
    James Croft, Head of operations, Loungelovers.co.au
  • “HFD gives the highest priority to improving our customer experience. We believe package.ai can improve our operational efficiency by up to 30% while providing an unmatched user experience to our end clients.”
    Yaniv Ben Tovim, CEO

PACKAGE.AI’S MAIN FEATURES

PACKAGE.AI IN ACTION

Package.ai is a modular and customizable service that is built to make your last-mile logstics operation more efficient, competitive and profitable. We integrate into your existing IT systems and do not take a RIP-AND-REPLACE approach.

Discover how AI can help your business become more competitive and efficient!
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CONTACT US

Get in touch for a live, in-person demo: