01
Audience research & strategy

Our audience research focused on Crafted Liberation’s impact. Our goal was to understand the emotional drivers behind support for this project. We identified two key personas:

  1. The Drivers: Primarily Iranian women living outside Iran, deeply connected to the Women, Life, Freedom movement.
  2. The Drivers: Primarily Iranian women living outside Iran, deeply connected to the Women, Life, Freedom movement.

These insights informed every aspect of our brand strategy, guiding the website and content creation to engage these audiences emotionally and effectively.

01
Brand design & copywriting

The brand design embodies RK Collective’s philosophy of ‘design for function, not decoration.’ The aesthetic for RK Collective is minimalistic and modular, using earthy, neutral colours and a clean, sans-serif font. For Crafted Liberation, we introduced a vibrant Persian-inspired colour palette, reflecting the cultural significance of the project. This differentiation in design helped to establish RK as the umbrella brand, with Crafted Liberation as its signature project.

For Crafted Liberation, we introduced a vibrant Persian-inspired colour palette, reflecting the cultural significance of the project. This differentiation in design helped to establish RK as the umbrella brand, with Crafted Liberation as its signature project.

01
Brand design & copywriting

The brand design embodies RK Collective’s philosophy of ‘design for function, not decoration.’ The aesthetic for RK Collective is minimalistic and modular, using earthy, neutral colours and a clean, sans-serif font. For Crafted Liberation, we introduced a vibrant Persian-inspired colour palette, reflecting the cultural significance of the project. This differentiation in design helped to establish RK as the umbrella brand, with Crafted Liberation as its signature project.

For Crafted Liberation, we introduced a vibrant Persian-inspired colour palette, reflecting the cultural significance of the project. This differentiation in design helped to establish RK as the umbrella brand, with Crafted Liberation as its signature project.

Radish Events: Using AI to transforms food waste management

About

We partnered with Radish Events, a sustainable catering company, to help them measure their food waste easily and accurately. For years, Radish had been manually weighing all their compost and waste to reduce what ended up in landfill. But to truly measure their efficiency, they needed a better way to track their inputs — the fresh produce they received from many different suppliers, captured only through stacks of scattered receipts.

To solve this, ReCo Digital developed a custom full-stack web application with AI-powered image recognition, allowing Radish to capture their input data and build a full picture of their food use and waste.

The MVP reached 100% accuracy and was built in just 4 weeks — showing how quickly a tailored AI solution can be developed with the right strategy.

Project goals
  • Assess technology feasibility, recommend tech stack, and map the implementation timeline and security requirements
  • Design a tailored AI solution to meet Radish’s operational needs
  • Provide instant data capture, analysis and visualisation tools

01
Deep dive into the challenge

Collaborating with Henri Turra, managing director of Radish Events, we investigated their unique problem through existing data and workshops. While measuring output waste was straightforward, there was no reliable or convenient way to measure total food input. Without input data, Radish cannot measure their waste reduction efficiency rate and real impact.

This discovery process formed the foundation for defining practical requirements that would meet their needs, while staying technically feasible.

02
Research & technology assessment

We conducted extensive research across multiple AI and image recognition technologies. Our team evaluated specialised image recognition tools, custom-built recognition APIs like Azure Computer Vision and general AI APIs.

Each option was rigorously tested for accuracy, implementation feasibility and ease of use. This comparative analysis helped us identify the best solution — balancing powerful functionality with practical deployment.

03
Backend development with AI integration

After selecting the most accurate API from our testing, we built a robust backend system within 4 weeks. Our custom integration achieved close to 100% accuracy in reading weights from receipts and automatically categorising different food items.

We also built the system with security at its core, applying modern data protection protocols to keep sensitive business information safe during both processing and storage.

04
User-centred frontend design

With the powerful backend in place, we created an intuitive, modern frontend interface that enables Radish to:

  • Effortlessly upload and process receipt images
  • Collaborate with the AI to correct potential recognition errors
  • Visualise food usage patterns through custom dashboards
  • Identify waste reduction and cost-saving opportunities

The design prioritised ease of use while providing sophisticated analytical capabilities that required minimal training for the Radish team.

05
Iterative refinement & deployment

We delivered our MVP solution to Radish and incorporated their feedback through rapid iteration cycles. Our team custom-fit analysis tools and data visualisations to match Radish’s specific reporting needs, ensuring the user interface was optimised for their daily operations.

Project impact
  • MVP AI solution built in 4 weeks
  • Delivered a simple, reliable way to track food inputs — enabling accurate measurement of food waste and the CO₂ emissions it creates
Key takeaway
  • With the right strategy, a custom-built AI solution can be designed, tested and deployed rapidly, in just a few weeks
  • Seamless tech integration strengthens daily workflows without disrupting existing systems
  • Clear, accurate data empowers businesses to demonstrate their sustainability impact with confidence
Our services
  • Machine learning and image recognition integration
  • Full-stack web application design and implementation
  • Data visualisation and analytics implementation
Credits

Developed by the ReCo Digital team, led by Danling Xiao, with AI development by Ellen Zheng and Zhakhangir Mamayev. Ellen and Zhakhangir are aspiring computer engineers, currently studying at Boston University and University of Sydney.

Photos: Radish Events / Andrea Veltom

Pitch decks
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We’re on a mission to help you transform your vision into action, overcome challenges, and co-create a brighter future for all. Contact our co-founder Danling to discuss your project today.

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