At Zippedi, our mission is to transform retail operations by capturing and processing millions of images using our AI-driven autonomous robots. But to deliver real-time, actionable insights to our clients across the globe, we need an infrastructure that is as fast, scalable, and intelligent as our robots.
That is why we are incredibly proud to be officially featured as a Google Cloud Success Story!
The newly published case study dives deep into how our transition to Google Cloud’s serverless, auto-scalable architecture has revolutionized our operations, reduced our costs, and most importantly, amplified the value we deliver to our retail partners.
The Challenge: Scaling on Demand
Our robots operate in dynamic environments. We needed a system that could provide immense computing resources when the robots are actively scanning aisles, while keeping costs low when they are inactive.
As Rodrigo González, our VP of Software Engineering, explains in the feature:
“The core vision of the business is scalability—making use of resources on demand and aligning with our operational distribution. The goal was to provide resources to the robots when they are active, and keep them on a low budget when inactive.”
By migrating to Google Cloud and utilizing technologies like Cloud Composer, Cloud Run, Vertex AI, Vision AI, BigQuery, and Bigtable, we built a fully auto-scalable system capable of processing visual information in real-time.
The Impact by the Numbers
The results of this cloud transformation have been monumental, not just for our internal efficiency, but for our clients’ bottom lines. By leveraging Google Cloud, we have achieved:
- Faster Insights: We reduced the time it takes to supply real-time data from 2 hours to just 15 minutes.
- Operational Efficiency: We saw a 60% decrease in operational and administrative costs.
- Unmatched Reliability: Our system recovery time dropped dramatically from 6 hours to just 20 minutes.
- Client ROI: Our clients are seeing incredible returns, securing an ROI between 4x and 10x, alongside a reduction of up to 350 labor hours per store per month and a potential 3% increase in sales.
A Strategic Partnership
This leap in efficiency means our team can focus less on maintaining local servers and more on innovating.
“Previously, maintaining our local servers required a lot of effort,” says Zippedi Co-Founder and Executive Director, Ariel Schilkrut. “Today, thanks to the auto-scalable system we built on Google Cloud, we don’t need to take extra actions. We just need to ensure the robot arrives at the store where we want to implement it and that it is easy to use.”
Our CTO, Kishor Taywade, also highlighted the human element behind this success:
“The dedication and professionalism of the Google Cloud team have facilitated the optimization of our solutions and the continuous growth of our company, consolidating a very positive and productive collaboration.”
Looking Ahead with Generative AI
We aren’t stopping here. The future of Zippedi with Google Cloud is incredibly bright. We are already exploring deeper integrations with Vertex AI to automate our AI model training processes. Furthermore, we have begun testing Gemini, Google’s most advanced AI model, to provide our clients with even deeper visibility into store conditions—from product presentation and cleanliness to promotional displays.
We are thrilled to continue this journey alongside Google Cloud, pushing the boundaries of what is possible in retail technology!
Read the full success story: Check out the complete feature on the official Google Cloud website here: Zippedi Caso de Éxito | Google Cloud
