Indonesia
Agriculture
Implementing Organisation
PT KOLTIVA
Indonesia, Jakarta, South Jakarta
Implementing Point of Contact
Manfred Borer
Co-founder and CEO
Contributor of the Impact Story
Carnegie India
Year of implementation
2024
Problem statement
Smallholder producers often face limited access to timely, reliable, and localized agricultural knowledge. Challenges such as climate variability, pest and disease outbreaks, market volatility, and limited extension services disproportionately affect farmers in remote and underserved areas. Traditional advisory models are costly, slow to scale, and unable to provide real-time, personalized guidance. To address these challenges, KOLTIVA developed an AI-powered chatbot embedded within its FarmCloud mobile application. The solution aims to bridge the information gap by delivering instant, context-aware agricultural advice, climate alerts, and best-practice recommendations, while complementing human agronomist support. The use case focuses on improving farm productivity, resilience, and farmer decision-making while supporting sustainable and traceable agricultural practices.
Impact story details
PT KOLTIVA is a global agritech company founded in 2013 in Indonesia, dedicated to building inclusive, climate-smart, and traceable agricultural supply chains. KOLTIVA operates as a “triple-tech” company, integrating Agritech, Fintech, and Climate Tech with extensive on-the-ground field operations. The company provides end-to-end digital solutions that enable agribusinesses, governments, and financial institutions to achieve sustainable sourcing, regulatory compliance (including EUDR), and measurable ESG impact. KOLTIVA’s ecosystem includes traceability platforms, producer profiling and plot mapping, land-use change monitoring, climate and GHG assessment tools, digital financial services, and farmer capacity-building programs. With operations across Asia, Africa, and Latin America, KOLTIVA supports millions of smallholder producers and works with multinational enterprises to enhance transparency, resilience, and inclusiveness in global supply chains.
AI Technology Used
Key Outcomes
Efficiency
Productivity, Access
Reach, Accuracy
Quality Improvement, User Experience
Satisfaction, Resilience
Risk Reduction
Narrative Outcome
Koltiva's FarmCloud platform embeds an AI chatbot to provide real-time, personalised guidance. Over 36,000 users have registered, with nearly 13,000 receiving digital payments through the integrated eWallet service. The chatbot enables faster response times and more efficient handling of inquiries. The platform provides an infrastructure for advisory, traceability, and payments, reaching dispersed smallholders across states.
Impact Metrics
Total number of registered users
Baseline Value
0
Post-Implementation
36 ,579 Registered Users on FarmCloud indicates the reach and adoption of the digital platform among smallholder producers.
Number of farmers who have registered for the eWallet service, Koltipay
Baseline Value
0
Post-Implementation
12 ,949 users Receiving ePayments via eWallet service
Users who utilize the ePayments feature within the FarmCloud platform
Baseline Value
0
Post-Implementation
5 ,812 Users of FarmCloud ePayments
Improved access to real-time agricultural advisory services through AI chatbot
Baseline Value
Prior to AI chatbot implementation, interactions relied solely on traditional, non-AI methods. User satisfaction, response time, resolution rate, or message volume
Post-Implementation
Expected improvements and changes include enhanced customer engagement, quicker response times, and more efficient handling of inquiries User satisfaction, response time, resolution rate, or message volume
Implementation Context
Implemented in Indonesia, with planned expansions to multiple countries across Asia, Europe-Middle East, Africa, and Latin America.
Smallholder producers in rural and underserved communities, including women and youth.
Key Partnerships
Private sector agribusinesses, NGOs, financial institutions, and government partners.
Replicability & Adaptation
Localization of language, crop-specific knowledge, climate data, and regulatory requirements is recommended for deployment in new regions.
Supporting Materials
* The data presented is self-reported by the respective organisations. Readers should consult the original sources for further details.