Thank you for Subscribing to Agri Business Review Weekly Brief
When TechFarm began around 2020, Switzerland had approximately 60,000 farms. That number has since fallen to about 45,000, while the farms that remain have grown larger. This shift has placed more pressure on owners to manage orders, deliveries and administration without losing time needed for production, fieldwork or family life.
“We want to help by reducing administrative work and simplifying business ordering,” says Remo Hugentobler, co-founder.
The idea grew from work with a farm that was open to process automation. TechFarm first searched for an existing platform that could support its B2B ordering needs. When none fit, it began developing FarmFlow around the farm’s actual workflow.
Research with other farmers confirmed the scale of the problem. Respondents reported spending 30 to 40 hours each month handling calls, text messages, receipts and conversations with business partners. TechFarm also found that B2B ordering often remained disconnected from accounting and financial software. It used those findings to identify common processes across farms and create a platform that could simplify agricultural sales.
A Simpler B2B Order Flow
FarmFlow gives each farm a digital ordering page that business customers can reach through a QR code. A bakery, restaurant or hotel can display the laminated code in its kitchen, allowing any staff member to order without calling the farmer. Users can select a language, choose products and request a delivery date.
The platform consolidates orders into a delivery summary showing customers, products and delivery dates. Farmers can review order frequency, product demand and seasonal patterns across different periods. This forward view supports production planning and reduces the need to assemble information from separate calls and messages.
TechFarm keeps the core flow consistent while adjusting smaller elements to each farm. The platform can support cheese, eggs, vegetables, meat and other products rather than being tied to one category. Feedback from one farm can also reveal a feature that benefits others.
A cheese producer illustrates that approach. The farm previously received orders through calls, text messages and in-person visits. TechFarm began with a proof of concept involving five to 10 customers. The rollout took about a week, after which the farmer asked to extend the platform to the full customer base.
The platform now handles roughly 60 to 80 orders each week. TechFarm also added the option to send delivery summaries to staff managing different parts of fulfilment, turning one customer request into a broader feature.
Historical order data replaced instinct with clearer evidence of seasonal demand, helping the farmer determine when production should rise or fall.
Security, Privacy and the Next Step
The co-founders’ backgrounds in software engineering and cybersecurity shape FarmFlow’s development. Reproducible tests help identify bugs or security gaps after changes, while an up-to-date technology stack and awareness of current attack patterns guide how threats are prioritized.
Privacy is built into the ordering process. When someone scans a restaurant’s QR code, FarmFlow records which business placed the order without identifying the employee. TechFarm minimizes personal data collection, follows European privacy requirements and does not share customer information with third parties.
“We try to reduce the amount of personal data collected to an absolute minimum,” says Nahuel Ozan, co-founder.
FarmFlow is hosted in Switzerland through a provider chosen for Swiss data residency and renewable energy, despite the higher cost, reflecting TechFarm’s privacy and ethical priorities.
The company is exploring deeper integrations with accounting, inventory and other systems already used by farms. Predictive analysis could eventually help a producer anticipate demand several months ahead. Voice-based ordering may offer another path to improve convenience, but TechFarm is proceeding carefully due to privacy considerations.
By keeping FarmFlow small, adaptable and easy to use, TechFarm gives growing farms a more manageable way to handle orders, plan production and reclaim time for the work that requires their attention most.
“We want to help by reducing administrative work and simplifying business ordering,” says Remo Hugentobler, co-founder.
The idea grew from work with a farm that was open to process automation. TechFarm first searched for an existing platform that could support its B2B ordering needs. When none fit, it began developing FarmFlow around the farm’s actual workflow.Research with other farmers confirmed the scale of the problem. Respondents reported spending 30 to 40 hours each month handling calls, text messages, receipts and conversations with business partners. TechFarm also found that B2B ordering often remained disconnected from accounting and financial software. It used those findings to identify common processes across farms and create a platform that could simplify agricultural sales.
A Simpler B2B Order Flow
FarmFlow gives each farm a digital ordering page that business customers can reach through a QR code. A bakery, restaurant or hotel can display the laminated code in its kitchen, allowing any staff member to order without calling the farmer. Users can select a language, choose products and request a delivery date.
The platform consolidates orders into a delivery summary showing customers, products and delivery dates. Farmers can review order frequency, product demand and seasonal patterns across different periods. This forward view supports production planning and reduces the need to assemble information from separate calls and messages.TechFarm keeps the core flow consistent while adjusting smaller elements to each farm. The platform can support cheese, eggs, vegetables, meat and other products rather than being tied to one category. Feedback from one farm can also reveal a feature that benefits others.
A cheese producer illustrates that approach. The farm previously received orders through calls, text messages and in-person visits. TechFarm began with a proof of concept involving five to 10 customers. The rollout took about a week, after which the farmer asked to extend the platform to the full customer base.
The platform now handles roughly 60 to 80 orders each week. TechFarm also added the option to send delivery summaries to staff managing different parts of fulfilment, turning one customer request into a broader feature.
-
We want to help by reducing administrative work and simplifying business ordering.
Historical order data replaced instinct with clearer evidence of seasonal demand, helping the farmer determine when production should rise or fall.
Security, Privacy and the Next Step
The co-founders’ backgrounds in software engineering and cybersecurity shape FarmFlow’s development. Reproducible tests help identify bugs or security gaps after changes, while an up-to-date technology stack and awareness of current attack patterns guide how threats are prioritized.
Privacy is built into the ordering process. When someone scans a restaurant’s QR code, FarmFlow records which business placed the order without identifying the employee. TechFarm minimizes personal data collection, follows European privacy requirements and does not share customer information with third parties.“We try to reduce the amount of personal data collected to an absolute minimum,” says Nahuel Ozan, co-founder.
FarmFlow is hosted in Switzerland through a provider chosen for Swiss data residency and renewable energy, despite the higher cost, reflecting TechFarm’s privacy and ethical priorities.
The company is exploring deeper integrations with accounting, inventory and other systems already used by farms. Predictive analysis could eventually help a producer anticipate demand several months ahead. Voice-based ordering may offer another path to improve convenience, but TechFarm is proceeding carefully due to privacy considerations.
By keeping FarmFlow small, adaptable and easy to use, TechFarm gives growing farms a more manageable way to handle orders, plan production and reclaim time for the work that requires their attention most.
Scaling Farm Commerce without Administrative Drag
Farm growth often exposes a management problem before it creates a production problem. Orders still arrive through calls and text messages, even as customer volumes rise and delivery schedules become harder to coordinate. Administrative work then competes with fieldwork, production planning, customer service and family time. For executives evaluating an agricultural digital process automation platform, the central question is not whether a farm can digitize an order form. It is whether the platform can absorb routine commercial work without imposing a system that staff or customers will avoid.
Order capture deserves close scrutiny because fragmented intake creates errors long before fulfillment begins. A platform should give business customers a direct route for placing orders, while preserving the delivery rules and product choices set by the producer. Registration requirements or complicated logins can weaken adoption among restaurants and other trade buyers where ordering responsibility changes hands. Simple access matters, but simplicity should not come at the cost of structure. The farm still needs reliable quantities and delivery dates in one place.
Process fit is equally important. Agricultural businesses may sell cheese, eggs, vegetables and meat, yet the underlying flow from order receipt to preparation and delivery often follows a comparable pattern. A useful platform should standardize that common flow while allowing smaller adjustments around products and dispatch routines. Too much customization raises maintenance costs. Too little forces farms to reshape workable practices around software. Buyers should examine how the provider tests assumptions and decides whether a requested feature belongs in the core product.
Data handling creates another decision point. Consolidated orders can support pack lists and demand analysis, but the platform should collect only what the process requires. Personal data that has no bearing on fulfillment adds exposure without improving service. Beyond data collection, hosting location and software maintenance also matter, particularly when farms exchange commercial information with recurring business customers. Security should be built into development through repeatable testing and current software components rather than added after deployment.
"TechFarm brings privacy-conscious data collection and security-led software development to its platform, supported by Swiss hosting."
Integration depth will shape the platform’s long-term usefulness. Order data that remains isolated from accounting or existing farm software still leaves staff copying information between systems. Buyers should assess whether the platform can support interfaces as requirements expand, while keeping daily use clear. Analytics should also remain practical. Historical order patterns and future delivery loads can help farms adjust production, but dashboards are useful only when the underlying data is complete and easy to interpret.
TechFarm is a strong choice for farms that need to move B2B ordering away from calls and paper-based tracking. Its FarmFlow platform lets customers order through a QR code without registration, organizes requests around scheduled delivery dates and produces consolidated delivery summaries. The system can accommodate different farm products and selected process variations without abandoning a common workflow. TechFarm brings privacy-conscious data collection and security-led software development to its platform, supported by Swiss hosting. For buyers prioritizing simpler order intake and clearer fulfillment planning, it offers a practical fit with room for future system connections.
...Read more
Agricultural Digital Process Automation Platforms in Europe Info
Q1
What Are Agricultural Digital Process Automation Platforms?
Agricultural Digital Process Automation Platforms help farms replace time-consuming administrative work with digital workflows that simplify ordering, delivery planning, customer communication and day-to-day business management. Instead of relying on phone calls, text messages and paper records, farms can manage information in one place, reduce repetitive tasks and gain a clearer view of customer demand. As farming businesses expand and administrative workloads increase, these platforms free up more time for production while making routine business processes easier to handle.
Q2
How Does TechFarm Apply Agricultural Digital Process Automation Platforms to Everyday Farm Operations?
TechFarm created FarmFlow after seeing that many farms had trouble handling B2B orders with manual methods. Instead of using off-the-shelf software, they built FarmFlow to match real farming routines. Each customer gets a digital page via QR code, where they can order, pick products, choose delivery dates, and make requests on their own. For example, a cheese producer started with a small trial and then rolled out FarmFlow to all customers after it made weekly orders much simpler. This shows how Agricultural Digital Process Automation Platforms can fit smoothly into farm routines without big changes.
Q3
What Features Should Organizations Look for in Agricultural Digital Process Automation Platforms?
Choosing Agricultural Digital Process Automation Platforms starts with understanding how well they support everyday farm workflows. The most effective platforms combine digital ordering with centralized farm order management, delivery scheduling, demand tracking, multilingual ordering, customizable workflows and reporting that helps guide production planning. Flexibility also matters because every farm has different products, customers and operating practices. A platform that adapts to those differences is more likely to remain useful as the business grows.
Q4
How Do Agricultural Digital Process Automation Platforms Improve Planning and Decision-Making?
Reliable planning depends on accurate information rather than scattered conversations or handwritten notes. Agricultural Digital Process Automation Platforms bring order history and customer demand into a single view, helping producers identify seasonal buying patterns, monitor product demand, prepare delivery schedules and plan production with greater confidence. Historical data becomes easier to review, reducing guesswork and helping farms make informed decisions about inventory, production timing and resource allocation.
Q5
Why Are Security and Data Privacy Important in Agricultural Digital Process Automation Platforms?
Because Agricultural Digital Process Automation Platforms handle customer orders and business information, strong privacy and security practices are essential. Well-designed platforms limit unnecessary personal data collection, safeguard business information and support compliance with applicable privacy regulations. TechFarm built FarmFlow with privacy integrated into the ordering process, minimizing the amount of personal information collected while hosting the platform in Switzerland to support Swiss data residency. Regular software testing and ongoing security reviews help strengthen the platform as it continues to evolve.
Q6
How Are Agricultural Digital Process Automation Platforms Expected to Evolve?
As farms continue adopting digital tools, Agricultural Digital Process Automation Platforms are likely to connect more closely with accounting, inventory management and other business systems. Better data integration and predictive analytics can help producers forecast demand earlier and reduce repetitive administrative work. TechFarm is exploring these opportunities while maintaining a practical approach to privacy and usability, showing how digital automation can support modern farm management without adding unnecessary complexity.
Company
TechFarm
Management
Remo Hugentobler, Co-founder
Description
TechFarm helps agricultural businesses reduce administrative work through FarmFlow, a digital process automation platform that streamlines business-to-business ordering, improves production planning and provides data-driven insights while prioritizing privacy, security and ease of use.
