Kenya AgTech SMEs Can Build Farmer Trust That Lasts

Kenya AgTech SMEs can improve advisory services and market links, but digital access does not guarantee farmer trust or sustainable revenue. Drawing on published accounts of M-shamba and Twiga Foods, this article examines how services fit local trading relationships in Trans Nzoia, Meru, Embu, Kirinyaga and Nairobi. It recommends small farmer-led pilots, human support and transparent purchasing terms. For policymakers and investors, the practical priority is to support collaboration with producer organisations and county extension services, while tracking farmer earnings, service costs and produce losses alongside adoption.

Background

Agriculture anchors Kenya’s rural economy, yet access to advice, reliable buyers and market information remains uneven. A 2023 World Bank account reported that Kenya’s ministry and KALRO had linked 1.1 million farmers to the Big Data Platform and Kenya Agricultural Observatory Platform. It separately described the One Million Farmer Platform as a partnership connecting county governments and AgTech startups (World Bank).

While these initiatives provide a supportive digital infrastructure, their value ultimately depends on how effectively services respond to farmers’ everyday needs. In Trans Nzoia, farmer-to-farmer referrals and a producer organisation helped connect one grower to M-shamba; in Nairobi, personal assistance helped a retailer use Twiga (World Bank; Finnfund). Such relationships are business resources that entrepreneurs can strengthen through collaboration.

For wider sector context, see AAE’s The Rise of Agripreneurship in Kenya (De Gregori). The focus here is how SMEs can make those opportunities work in everyday transactions.

Challenge

Access to technology does not automatically translate into useful market intelligence. In a published Business Daily interview, Srinadh Kotturu, co-founder of Kenya-based Kwikbasket Solutions, said farmers “lack insights into what the market needs today and tomorrow” (qtd. in Akoko).

Farmers need services that help them decide what to grow, when to sell and what they will actually receive. SMEs therefore need to understand existing traders, agents and producer groups before changing how transactions work. Assuming that an app can replace these relationships risks overlooking the people who explain prices and resolve problems.

Financial sustainability creates another tension. Platforms must cover technology, logistics and support costs while offering farmers enough value to return. A growing user count tells founders little if rejected produce, transport charges or delayed payments erase the gains.

Case

M-shamba and farmer referrals in Trans Nzoia

In its 2023 account, the World Bank described M-shamba’s app, virtual call centre, interactive voice and SMS services. Valentine Barasa, a banana farmer and member of the Siwahoma Producer Organization in Trans Nzoia, approached the service after hearing about it from another farmer. She reported annual sales rising from 7.2 to 18 metric tonnes and sales value from US$720 to US$2,945 (World Bank).

This individual account does not establish that M-shamba alone caused the improvement or that its business model was profitable. It does suggest a useful design principle: offer several ways to obtain support and let trusted local referrals help farmers evaluate a service. Ask each pilot group which languages and channels it prefers rather than assuming one choice fits every county.

Twiga and the limits of distribution efficiency

A 2024 FARA study documented Twiga’s links between farmers and urban retailers, drawing on experiences in Meru, Embu and Kirinyaga. It described agent relationships and mixed farmer outcomes: some respondents valued a ready market, while others reported lower prices than alternative buyers, rejected bananas, sudden price changes or transport costs (Mulinge et al.). These are findings from that study, rather than a description of Twiga’s current operations.

Retailers also needed human support. In Finnfund’s published account, Naomi Wambui, a retailer in Kahawa West, Nairobi, said, “I do not own a smartphone,” and explained that she could order by telephone or seek an agent’s assistance (Finnfund). She is identified by her published name; the account comes from an investor-linked source and should be read alongside the FARA findings.

For SMEs, the lesson is to assess whose costs fall and whose costs rise when distribution changes. A more efficient platform can still disappoint farmers if grading, collection arrangements or payment terms are unclear. Human assistance and fair, predictable transactions need to develop together.

Suggestion

A practical pilot for Kenya AgTech SMEs

Start with one crop and one collection area. Invite a small group of farmers, including people who do not use smartphones, to help choose the service problem and preferred language. Test a complete transaction with them, from requesting advice or a price to receiving payment, and record where they need help.

Agree roles with producer organisations, agents and county extension workers. Specify who explains grades, confirms prices, handles complaints and follows up on missed collections. Pay partners for clearly defined work, and let farmers identify whether those partners are trusted locally.

Share the full offer before produce moves. State the price or pricing method, accepted varieties, grading rules, deductions, transport responsibility and payment date in a format farmers can retain. Demonstrate grading with actual produce, and provide a named contact for disputes.

Check both the business margin and the farmer’s return after each collection cycle. Calculate farmer receipts after fees and transport, alongside the SME’s delivery and support costs. Record rejected quantities, what happens to that produce and reasons for missed collections; use the results to test changes that could reduce avoidable losses.

Keep simple transaction records and review them with participating farmers before expanding. AAE’s Bridging the Gap offers related guidance on digital records and funding readiness (Ge). Records are useful for business decisions, but do not guarantee finance.

For county authorities and funders, support pilots that allow farmers to shape services and compare outcomes over repeated transactions. Assess whether gains persist after introductory subsidies end. Make continued support depend on evidence of farmer value and a credible plan to cover operating costs.

Conclusion

Kenya’s AgTech cases show why locally responsive service design matters to sustainable entrepreneurship. Farmer referrals, producer organisations and accessible human support can help digital services earn repeat use, while transparent terms let farmers judge the offer for themselves. Which change has most improved trust in your Kenyan AgTech business, and how did you measure it? Share your experience in the comments.

 

 

Works Cited

Akoko, Elly. “High-Growth Lessons from Agritech Start-up Founder.” Business Daily, 22 Feb. 2023, www.businessdailyafrica.com/bd/corporate/enterprise/high-growth-lessons-from-agritech-start-up-founder–4133498.

De Gregori, Matilde. “The Rise of Agripreneurship in Kenya: Opportunities and Challenges for SMEs.” AllAfripreneurs, 9 Jan. 2025, allafripreneurs.org/east-africa/kenya/the-rise-of-agripreneurship-in-kenya-opportunities-and-challenges-for-smes/.

Finnfund. “Case: Twiga Connects Merchants and Food Production.” Finnfund, www.finnfund.fi/en/impact/impact-results/impact-stories/case-twiga-connects-merchants-and-food-production/.

Ge, Weijie. “Bridging the Gap: How Digital Tools Can Unlock Funding for African Agri-SMEs.” AllAfripreneurs, 7 Feb. 2026, allafripreneurs.org/all-africa/bridging-the-gap-how-digital-tools-can-unlock-funding-for-african-agri-smes/.

Mulinge, W., et al. Report on Digital Platforms in Kenya: Case Study Report: Twiga Foods. Forum for Agricultural Research in Africa, 2024. FARA Research Report, vol. 8, no. 4, research4agrinnovation.org/app/uploads/2024/11/FRR-Vol-8-No-4-2024-Kenya.pdf.

World Bank. “Scaling Up Disruptive Technologies for Agricultural Productivity in Kenya.” World Bank, 7 June 2023, www.worldbank.org/en/results/2023/06/07/scaling-up-disruptive-technologies-for-agricultural-productivity-in-kenya.