Customize AFOS for your business.

We build tailored solutions on top of AFOS - from integrations and automation to advanced analytics and custom features.

The stories below highlight what we’ve built for some clients, but they are not limits. AFOS can adapt to any workflow, integration, or custom feature your business requires.

Custom web and mobile solution for on-farm feed management

A US-based feed producer needed a way to connect their sales team, farm owners, and nutritionists in one streamlined process. We built a custom web portal and a mobile application that sales representatives use directly on farms to record key animal data: weight, height, performance, body condition scores, and health indicators. Together with farmers, they can add tags, comments, and subjective insights about each animal.

Once submitted, this information is stored in a central database and reviewed by nutritionists in AFOS. Based on the collected data, nutritionists can adjust or create new feed formulations tailored to the herd’s needs. When sales or veterinary experts return to the farm, they have updated recommendations and feed plans ready on their tablets or mobile devices. This solution helped our client strengthen customer relationships.

Technical perspective

The system was built on the AFOS platform with modern, scalable technologies. We used Flutter to deliver a seamless mobile experience across iOS and Android devices, while Java, Angular, and React powered the web portals. Data storage and integration were hosted on Microsoft Azure, ensuring security, performance, and compliance.

We also integrated REST APIs for real-time communication, Azure SQL Database for structured data management, and role-based authentication for secure access by sales reps, farm owners, and nutritionists. Offline data capture with automatic synchronization was added to support field teams in remote areas. The result is a flexible solution that extends the power of AFOS into everyday farm operations while remaining robust and future-proof.

Seamless SAP integration with AFOS

One of our clients needed AFOS not just for formulation, but as part of their full enterprise workflow. Their challenge was that nutritionists designed formulas in AFOS, while production planning and purchasing were handled in SAP S/4HANA. Each time a formula changed, staff had to manually re-enter data into SAP’s Bill of Materials (BOM) and Material Master. This created bottlenecks, errors, and delays between nutrition and operations.

With our integration, formulas created or updated in AFOS are automatically transferred into SAP as structured BOM entries, with all ingredient quantities and cost details synchronized. Purchasing and inventory teams immediately see the updated requirements, and production orders can be generated without manual input. The result was a faster formulation-to-production cycle, reduced administrative work, and better alignment between R&D, procurement, and manufacturing.

Technical perspective

We developed a secure connector that maps AFOS formulation data into SAP’s MM (Materials Management) and PP (Production Planning) modules. When a nutritionist finalizes a formula in AFOS, the system generates an integration event that creates or updates the corresponding Material BOM in SAP.

The connector uses SAP OData services and IDocs for structured data exchange, with a validation layer ensuring consistency of material codes, units of measure, and cost centers. Data flows through Azure Integration Services, providing logging, retries, and monitoring. We also implemented role-based security and audit trails so every change is tracked from AFOS through to SAP.

Real-time dashboards and predictive analytics in AFOS

A premix company needed to move beyond static monthly reports. Managers lacked timely answers to critical questions: Which customers are most profitable today? How much soybean meal will we need next month? What is the current feed cost per ton in each plant?

We built real-time dashboards that update the moment a nutritionist finalizes a formula or a sales team records an order. Executives now see live cost per ton, ingredient consumption trends by plant, and customer profitability reports on demand. Sales managers bring tablets to client meetings showing how feed costs and performance evolve in real time, while procurement teams receive early alerts when key ingredients approach shortage levels or when price trends suggest bulk buying.

Technical perspective

The solution is powered by an event-driven architecture where AFOS pushes data changes into Azure Event Hubs and streams them into both Power BI Embedded dashboards and custom Angular dashboards for advanced KPIs. Latency is kept to just a few seconds, ensuring data is effectively live.

We used Python forecasting models to provide procurement projections alongside live data. Role-based security ensures each user (executives, nutritionists, or sales reps) only sees what is relevant to their role. Dashboards are available on desktop and mobile, giving stakeholders live, actionable intelligence anytime, anywhere.

AI-driven price forecasting and procurement optimization

One of our clients struggled with volatile ingredient markets, where prices could change significantly from week to week. Their procurement team often had to make decisions based on delayed reports or instinct, which led to missed opportunities and inconsistent costs.

We built a custom AI solution that forecasts price movements and proposes optimal buying scenarios. Procurement managers now receive clear recommendations: when to secure contracts early, when to wait, and how to align purchasing with production needs. This reduced uncertainty, stabilized supply, and improved cost efficiency across operations.

Technical perspective

The forecasting engine combines multiple data sources to produce accurate predictions. Inputs include historical price movements, seasonal patterns, type of day (workday vs. weekend/holiday), procurement volumes, and supplier delivery histories. Additional signals such as currency fluctuations, regional demand patterns, and more are also factored into the models.

We trained time-series machine learning models (LSTM neural networks, Prophet) on this data, refreshed predictions daily, and delivered results directly into AFOS dashboards. An optimization module then simulates purchasing strategies, balancing projected costs, storage limits, and production demand. Data pipelines run through Azure Data Factory with full monitoring and alerting, and outputs are available both in Power BI dashboards and automated weekly reports.

Waste-to-energy optimization

Elixir, a company specialized in hazardous and non-hazardous industrial waste, needed a digital solution to minimize costs of preparing waste for thermal treatment while ensuring strict compliance with boiler and gas cleaning requirements. As the project evolved, their goals expanded: operators required clear feedback when optimizations failed, the ability to compare different scenarios, and integration of real-world constraints such as storage capacities, pumping limits, and burner support.

The platform had to reflect practical on-site conditions while serving as a foundation for Elixir’s long-term plan to build their own waste-to-energy facility.

Technical perspective

We delivered a custom solution built on the AFOS platform, leveraging its scalable and customizable architecture. The system integrates advanced optimization algorithms that prepare compliant fuel blends in seconds, supported by modules for unit conversion, constraint visualization, storage management, simulation comparison, and “bunker” analysis.

Built with Spring Boot, Angular, and SQL Server in a layered design, the application combines performance and usability. It provides Elixir with a flexible tool that automates waste preparation, reduces costs, and can expand to future logistics and storage optimization.

Start your customization

Customize AFOS for your business.

Custom web and mobile solution for on-farm feed management

Seamless SAP integration with AFOS

Real-time dashboards and predictive analytics in AFOS

AI-driven price forecasting and procurement optimization

Waste-to-energy optimization

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