Next generation retail execution platform

All your stores.In your pocket.

Piing.ai brings ecommerce-level intelligence and control to physical retail. Connecting signals from your stores to the people who can act on them, allowing high-performance retailers to verify execution, measure the impact, and drive performance forward.

Find out moreLive with early retail partners
Connects to the systems you already use
  • Shopify
  • Square
  • Lightspeed
  • NetSuite
  • Dayforce
  • Deputy
  • Microsoft Teams
  • Snowflake
Our mission

Piing.ai makes physical stores as measurable, intelligent, and optimisable as digital stores.

For the last 25 years, most retail innovation has focused on ecommerce. There was a reason: online retail was measurable. Every visit, click, transaction and conversion could be observed, tested and optimised.

The physical world never had that feedback loop. Stores remained difficult to observe, coordinate and optimise at scale, so the digital economy raced ahead while physical businesses were left behind.

That is changing. Sensors, connected systems, mobile technology, cloud and AI mean the physical world can finally become measurable and responsive.

Piing.ai gives physical retail the measurement and control that transformed ecommerce — so retailers can grow more, waste less, operate without surprises and build a store network ready for the future.

25%
Of non-stock OPEX is spent on managing manual processes
80%
Of retail spend still happens in a physical store
30%
Time saved through automation and centralisation of data and systems
Measure + Manage

Better measurement enables retailers to run physical stores like ecommerce stores.

With Piing.ai faster delivery and better measurement, means that testing and learning and continual improvement becomes an everyday reality baked into the core of your store operations. Learn faster than your competitors.

ObserveDecideActMeasureLearn
  • 01

    Drive more value from the opportunity your stores already have.

    Piing identifies performance leaks, directs the right response, and measures the impact.

    • Convert more of the traffic already in your stores
    • Boost low-performing stores by translating learnings from high-performing ones
    • Identify underperformance early and course-correct
    • Learn which operational strategies actually drive sales
    • Provide more impactful coaching to frontline teams
  • 02

    Save 30% of your middle management time by reducing admin overhead. Your managers spend more time coaching and selling.

    Leaders lose time collecting updates, chasing managers, juggling systems, reconciling spreadsheets and reassembling a picture of what is happening. It takes time so doesn't happen often enough. Piing compresses that layer into one context layer so it happens more often, instantly, and is tailored to the job at hand.

    • The whole organisation runs from a single source of truth, and views it through a lens aligned with their role.
    • Reduces time spent chasing updates
    • Replaces fragmented calls, messages, spreadsheets and paper
    • Lets managers work exceptions instead of routine checking
    • Get more from the labour and locations you already have
  • 03

    Nothing critical happens out of sight.

    Compliance, safety, evidence. Reduce risk driven by reducing missed actions, inconsistent execution, and problems that reach head office a week after they occured.

    • See exceptions and emerging problems earlier
    • Verify that critical actions were completed
    • Keep a reliable trail of evidence and improve accountability
    • Reduce compliance, safety and reputational exposure
  • 04

    Store operations become a performance-driven function.

    Piing.ai drives retail operations from a reactive coordination layer to an intelligent and continually optimised one. Beyond that, Piing.ai builds a base so the network is ready for the sensors, robotics and autonomous fleets that exist in the stores of the future.

    • Give retail operations strategic credibility
    • Demonstrate measurable transformation to the executive team
    • Turn frontline execution into organisational intelligence
    • Prepare the business for AI-driven, sensors and autonomous operations