Aravita Company Profile

Background

Company Overview

Aravita, founded in 2022 and headquartered in São Paulo, Brazil, is a pioneering startup leveraging artificial intelligence (AI) to address significant challenges in the food industry, particularly focusing on reducing waste in retail fresh food operations. The company's mission is to empower retailers by enhancing the efficiency of their fresh food management, thereby increasing profitability and contributing to a more sustainable world.

Mission and Vision

Aravita's mission is to strengthen retailers and their fresh food operations, increasing profitability while leading to a more sustainable world. The company envisions a future where AI-driven solutions minimize food waste, optimize inventory management, and ensure the availability of fresh produce to meet consumer demand.

Industry Significance

In a global context where approximately 1.3 billion tons of food are wasted annually—equivalent to one-third of all food produced—Aravita's solutions are crucial. By focusing on the retail sector, which accounts for a significant portion of this waste, Aravita addresses both economic inefficiencies and environmental concerns, aligning with the United Nations Sustainable Development Goal Target 12.3 to halve per capita global food waste by 2030.

Key Strategic Focus

Core Objectives

Aravita aims to revolutionize retail operations by optimizing fresh food inventory management through AI-driven solutions. The primary objectives include:

• Reducing Food Waste: Minimizing overstocking and spoilage of perishable items.

• Preventing Stockouts: Ensuring products are available to meet consumer demand, thereby reducing lost sales.

• Enhancing Profitability: Improving operational efficiency to boost retailers' bottom lines.

Areas of Specialization

Aravita specializes in the following areas:

• Fresh Food Inventory Management: Focusing on perishable items such as fruits, vegetables, and other fresh produce.

• AI and Machine Learning: Developing advanced algorithms to predict demand and optimize ordering processes.

• Supply Chain Optimization: Streamlining the supply chain to reduce waste and improve efficiency.

Key Technologies Utilized

The company employs sophisticated AI models, including deep learning and reinforcement learning, to analyze various factors affecting fresh food demand. These factors include historical sales data, weather patterns, seasonal trends, consumer behavior, and economic indicators. By integrating these variables, Aravita's platform provides precise order recommendations tailored to each retailer's specific needs.

Primary Markets Targeted

Aravita's primary market is the retail sector, with a particular focus on supermarkets and grocery stores. The company has initiated pilot programs with mid-sized supermarket chains in the São Paulo region, aiming to expand its reach to larger retailers and other markets facing similar challenges in fresh food inventory management.

Financials and Funding

Funding History

In March 2023, Aravita secured a seed funding round of $2.5 million. The investment was co-led by Qualcomm Ventures and 17Sigma, with participation from other notable investors, including:

• Bridge

• DGF Investimentos

• Alexia Ventures

• BigBets

• Norte Capital

• RG Nutri

• Bernardo Lustosa: Partner and CEO of ClearSale.

• Flávio Jansen: Former CEO of LocaWeb and Submarino.

Utilization of Capital

The funds are intended to support the development and refinement of Aravita's AI-driven platform, expand pilot programs with additional retail partners, and enhance the company's technological capabilities, including inventory management, point-of-sale integration, and process automation through AI and computer vision.

Pipeline Development

Key Pipeline Candidates

Aravita's primary product is its AI-powered fresh food inventory management platform. The platform is designed to:

• Predict Demand: Utilize AI algorithms to forecast demand for perishable items accurately.

• Optimize Ordering: Provide precise order recommendations to minimize waste and prevent stockouts.

• Integrate Seamlessly: Work with retailers' existing point-of-sale systems for easy implementation.

Stages of Development

As of early 2025, Aravita has completed initial pilot programs with mid-sized supermarket chains in São Paulo, demonstrating significant reductions in food waste and improvements in inventory management. The company is in the process of scaling its solution to additional retailers and expanding its platform's capabilities.

Target Conditions and Timelines

The platform targets the management of perishable goods, particularly fruits and vegetables, with plans to extend to other fresh food categories such as bakery, pastry, cold cuts, fish, and meat. The company aims to achieve broader market adoption and product-market fit by 2026, with ongoing enhancements to its AI models and integration features.

Technological Platform and Innovation

Proprietary Technologies

Aravita's platform is built on proprietary AI algorithms that incorporate deep learning and reinforcement learning techniques. These algorithms analyze a multitude of variables, including:

• Historical Sales Data: Understanding past purchasing patterns.

• Weather Conditions: Assessing how climate impacts consumer behavior.

• Seasonal Trends: Accounting for fluctuations in demand based on time of year.

• Economic Indicators: Considering factors like inflation and consumer spending power.

Significant Scientific Methods

The platform employs advanced machine learning methodologies to process and interpret complex datasets. By utilizing reinforcement learning, the system continuously improves its predictions and recommendations based on real-time feedback, ensuring optimal inventory management for retailers.

Leadership Team

Executive Profiles

• Marco Perlman, CEO: Holds a BA in Economics and an MS in Industrial Engineering from Stanford University. His background includes roles in management consulting at McKinsey and Gradus, as well as private equity and venture capital at GP Investments. In 2004, he founded Digipix, Latin America's leading online printer of photo and B2C products. Perlman has been an active member of the entrepreneurial ecosystem through Endeavor since 2000.

• Aline Neves de Azevedo, CPO: Earned a double degree in Chemical Engineering from POLI-USP and École Centrale Paris. Her career began in agribusiness consulting in France, followed by marketing at Dow in Brazil. She transitioned to product management at AB InBev and Loft, where she became the Head of Product for CredPago, one of Loft's investees.

• Bruno Schrappe, CTO: Holds a BS in Electronic Engineering from USP and a business degree from FGV. He completed an MS at the Rochester Institute of Technology and pursued extension work at MIT, Harvard, and the University of Toronto. Schrappe founded Off7Digital, a printing company with advanced technology, leading to a CTO role at Arizona, a premedia and marketing automation company. He also founded SapienX in Toronto, Canada, providing enterprise architecture and data science/AI services to North American customers.

Leadership Changes

As of July 2025, there have been no significant changes or appointments within Aravita's leadership team.

Competitor Profile

Market Insights and Dynamics

The global food waste management market is experiencing significant growth, driven by increasing awareness of environmental issues and the economic impact of food waste. Retailers are seeking innovative solutions to optimize inventory management, reduce waste, and improve profitability. The integration of AI and machine learning technologies in this sector is becoming a key differentiator.

Competitor Analysis

Aravita operates in a competitive landscape with several notable companies offering similar solutions:

• Afresh: Provides AI-driven solutions for fresh food inventory management, focusing on reducing waste and improving sales.

• Cognitiwe: Empowers retailers to reduce fresh food waste and financial losses through AI and computer vision technologies.

• Foodlink Online: Connects fresh food from farm to table through an extensive online network of industry players.

These competitors emphasize the importance of AI and data analytics in addressing food waste and inventory challenges in the retail sector.