Engineering KITRO’s AI Vision: Optimize Food Waste by 60%

Architecting the AI-powered analytics platform behind the revolutionary smart food waste bin

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Codetribe partnered with KITRO to build an AI-powered analytics platform, the intelligence engine for its revolutionary IoT "smart food waste bin." The engagement transformed KITRO's hardware into a scalable SaaS product, delivering actionable insights through an impressive analytics dashboard. The solution empowers commercial kitchens to reduce food waste by up to 60% and save up to CHF 140,000 annually, delivering financial and environmental impact.

Client

KITRO

Country

Switzerland

Market

DACH

Type

Seed to Series A Startup

Story

Confronted by the hospitality industry's staggering food waste crisis, Swiss FoodTech startup KITRO envisioned an IoT-enabled "smart trash can" to automatically capture waste data. To turn this concept into a market-ready product, they required a world-class technology partner. Codetribe was chosen to engineer the sophisticated software intelligence engine that would power KITRO's transformative solution.

Business Impact

Driving Peak Operational Efficiency & Financial Savings

The platform delivered immediate and substantial results: clients achieved up to a 60% reduction in edible food waste and unlocked annual food cost savings between 2% and 8%. The Zurich Marriott Hotel, for example, saved CHF 140,000, prevented 24 tons of food waste, and eliminated 55 tons of CO₂e emissions. This clear ROI proves that financial performance and sustainability can go hand-in-hand, enhancing brand reputation and market leadership.

Fostering a Culture of Sustainability and Engagement

The platform's simplicity and actionable guidance drove high adoption among kitchen teams, turning waste management into an engaging, collaborative effort. Visual evidence, like images of discarded food, raised staff awareness in a clear, language-agnostic way. This improved client satisfaction and loyalty for KITRO, making sustainability a tangible, shared goal for kitchen teams.

Enhancing Market Leadership & Quantifying Environmental Impact

Automated reporting empowered KITRO's clients to credibly communicate their sustainability commitment, enhancing transparency and solidifying their market leadership. Cumulatively, the platform has enabled the saving of over 950 tons of edible food waste, which translates to over 2.2 million meals saved and a significant reduction in CO₂ emissions, showcasing a tangible contribution to global sustainability goals.

Up to 60%

Food Waste Reduction

CHF 140K

Saved Annually at a Partner Hotel

2.2M+

Meals Saved Across All Clients

55 tCO₂e

Emissions Cut Annually at a Partner Hotel

Focus Area

Domains

AI & ML Solutions

IoT & Smart Devices

Data Analytics & Visualization

Web Apps

Architecture

Databases & Integrations

Cloud Computing

CMS

Paas

API

Services

AI & ML Services

Big Data & Analytics

Data Visualization

Backend Development

Frontend Development

IoT Services

MVP Development

API Development & Integration

Code Optimization & Performance

Cloud Services

Industries

Artificial Intelligence

Food, Hospitality & Travel

IoT & Connected Devices

Tech Stack

Python

TypeScript

Vue.js

Chart.js

Amazon Services

AWS Managed Services

Google Analytics

Google Cloud Vision

SQL

SVG

Challenges

The primary challenge was translating complex IoT data into tangible business value. Commercial kitchens operated with a critical data blind spot, unable to turn raw data into actionable insights to reduce costly food waste. This was compounded by the need for an incredibly intuitive interface for busy, non-technical kitchen staff. Finally, clients required a simple, automated way to report their financial ROI and environmental impact to stakeholders, proving the value of their sustainability efforts.

Solutions

Codetribe engineered a holistic, end-to-end AI platform to address these challenges. A cloud-native intelligence engine was built to process IoT data, using machine learning to convert raw data into structured, actionable insights. This intelligence was delivered via a user-centric dashboard with visual, interactive elements and personalized AI recommendations to actively guide staff toward waste prevention. To complete the solution, a seamless PDF reporting feature was integrated, allowing clients to effortlessly export professional reports on their cost savings and environmental impact for stakeholders.