Streamlining the integration of new technologies in data science to boost efficiency, scalability, and resilience in data management frameworks is the mission of Hiop, a pioneering deeptech startup. Hiop has made its state-of-the-art technology accessible to La Piadineria, Italy’s premier fast casual dining chain with a presence in over 400 locations, including city centers, malls, outlets, and retail parks.
Through the innovative data automation capabilities enabled by Hiop's platforms, La Piadineria has developed one of the most advanced analytical infrastructures in the European foodservice industry. This robust platform aggregates, synchronizes, and oversees the company’s myriad data sources, processing the data from the tens of millions of transactions made by the 70,000-plus customers who frequent the chain daily. Presented at the recent World AI Cannes Festival, this initiative is part of a strategic endeavor to anchor data and AI at the heart of the company’s decision-making and daily operations. These advanced technologies and the strategic application of AI are already delivering tangible benefits across marketing and other business areas.
Andrea Valota, CEO of La Piadineria Group, states, "In our field, it’s imperative to grasp the customer's needs and deliver exceptional products and services. With these advanced tools at our disposal, we can delve into market preferences and trends with greater depth, precision, and speed, swiftly adapting to anticipate shifts. Data analysis, Data Science, and AI are not just current investment focal points but will become even more central moving forward. This is why we’re joining forces with Hiop to bolster our analytics team and plan to recruit new talent in 2024, projecting these advances onto broader, groundbreaking innovation projects."
In this digital-centric era, the diligent management and analysis of data, including transaction records, inventory details, and customer engagements, is vital for crafting business strategies, elevating consumer experiences, and bolstering company profitability. Achieving such outcomes necessitates state-of-the-art tools congruent with the organization's size and scope.
Vincenzo Marino, CCO & Co-Founder of Hiop, says, "Our objective at Hiop is to furnish these essential tools. We empower companies to clear the hurdles of extracting valuable insights from their data and to capitalize on new market prospects. Hiop dedicates resources to the active interpretation and application of data rather than its mere administration and preparation, leading to heightened efficacy in projects and an enhanced return on investment."
Bearing this in mind, Hiop, via its cloud platform, provides La Piadineria with an array of technologies designed to convert raw data into actionable insights for the business. Leveraging AWS cloud infrastructure and Hiop’s certified and natively integrated software, data is seamlessly harvested, processed, and monitored, ensuring a secure and regulated journey from extraction to analysis and presentation. These tools are then securely made available for all teams and projects.
The deployment of a scalable and flexible infrastructure to capitalize on proprietary data positions GLP to surmount strategic challenges in artificial intelligence, facilitates streamlined integration with new systems, and buttresses the Group in its internationalization, channel growth, and territorial expansion.
"Masterful data management transcends technical know-how and becomes a cornerstone for corporate growth and innovation," asserts Giacomo Barone, CEO of Hiop. "Confronting the perils of 'bad data' and breaking down barriers to high-quality information takes an all-encompassing approach that can radically alter the data landscape, propelling businesses towards a more fruitful and innovative horizon. We take pride in supporting a distinguished player like La Piadineria on this voyage of technological transformation, reinforcing its status as a culinary tech leader in the Made in Italy brand."
With support from Hiop and AWS, La Piadineria is on track to amplify its Data Science and MLOps teams, broadening its repertoire of use cases and solutions. This expansion will enable continuous innovation, further enhancing a dining experience that is increasingly esteemed by both consumers and the marketplace.