Market intelligence powered by farm Ai-Agvisory.
For companies sourcing from smallholder farmers.
What farmers get
Actionable, personalized recommendations
Specialized pest and disease recognition & recommendations
Adverse climate alerts with recommended actions to minimize yield loss
Plant nutrition recommendations per farm, per crop
Data sharing made useful to farmers
Just-In-Time agvisory conversations replace just-in-case data collection
farm data collected in the conversation flow
contextualized advice for immediate farmers' value
Multi-modal, multi-lingual
What companies get
unique, farm-gate insights
See in real time pest & disease outbreaks to adjust your procurement strategies
Identify carbon pocket opportunities to drive programs in the right places
Identify highly engaged farmers to enroll as your farmer leaders
Supply Chain Resilience
Forecast yield and pest outbreaks better based on photographic sampling
Extend your agronomists at a marginal cost, 24/7 and at scale
Support farmers on their regenerative transition
Compliance at a low cost
Get Gps, inputs, regenerative practices and carbon calculations for each farm
Automated audit trail for your third party carbon verifiers
Auto generated statements for your CDP, TCFD and other major climate action reports
We actively promote Regen Ag
Regenerative practices
We only recommend regenerative practices and do not promot any synthetic products, herbicides etc
Regenerative education
Farmers receive bite-sized educational content on regenerative practices, at scale
Regenerative library
Farmers have access to an always-on library of recipes and practices for regenerative farming
How we work
Our 4-step framework
1. Discovery call
Discover your needs and assess how our solution could help
On-the-fly draft of what a solution for you could be, if there is a fit
Output: yes / no for next step. If yes, quotation and SOW sent to you
2. solution design
We start the solution design based off the SOW agreed upon in the quote
Align on key metrics, release schedule and ways-of-working
Identify key stakeholders at your origins and how to engage them for the roll out
3. Ship, iterate, review
- We’ll work with your local stakeholders for the rollout with farmers
- With boots on the grounds, we’ll follow up with your agronomists and farmers
- We’ll iterate on key improvements in the solution
4. Strategic review
- At the pre-agreed cadence, we’ll discuss progress relative to KPIs and challenges to be solved
- Agree on next action plan and keep the iterative loop going
Build your Ai-agvisory solution now
AI in sourcing is the next frontier
Going forward, we are also placing a greater emphasis on Nestlé’s digital transformation into a real-time, end-to-end connected, data- and AI-powered organization..
CEO of Nestle
With machine learning, farmers can discover improvements they can make to increase productivity and optimize yields
I think the value of AI is really there when you have the symbiosis of the human expert using these tools to actually expand their intelligence
By using AI and data across the whole supply chain, we can improve precision in our quantification, allocation, pricing, and local relevance — contributing to leaner production and a more sustainable use of resources.
