Sustainable agribusiness: bridging AI, automation, and techology for future-ready farming

Our holistic application of technology meets the immediate needs of agribusiness and lays a foundation for long-term sustainability and resilience in the face of evolving market demands and environmental considerations.

Industry overview

The agriculture industry faces a pressing need to adopt automation, modern software, and artificial intelligence (AI) to not only meet the growing demand for food, reduce labor costs, and meet changing consumer preferences but also to address the challenges of sustainability and climate change. This technological integration is transforming traditional farming practices and supply chain management, enhancing efficiency, accuracy, and yield.

Modern software solutions facilitate better data management, predictive analytics for crop health, and resource optimization. AI's role is pivotal in analyzing complex agricultural data, enabling smarter decision-making and more sustainable practices in agribusiness.

While challenges like cost, skills gap, and data privacy exist, the opportunities for increased productivity, improved efficiency, and new market opportunities outweigh these challenges. The future of agribusiness hinges on the adoption of IT solutions, not only to meet current demands but also to ensure a sustainable and climate-resilient food system for generations to come.

Challenges

01
Sustainable farming

AI's role in analyzing agricultural data is crucial for maintaining soil health, reducing pollution, and safeguarding diverse ecosystems.

02
Responsible soursing

Leading agricultural companies are increasingly focusing on sustainable sourcing, carefully tracking their environmental and social impacts.

03
Robust food distribution channels

Innovative technologies are key in fortifying food supply chains against unique challenges and unexpected disruptions.

04
Technology & AI adoption

Agritech, including digital tools like drones, is instrumental in the pursuit of eliminating hunger, offering advanced solutions such as pest control insights.

Value-adding benefits

Value-adding benefits impact agribusinesses involved with farming, including large enterprise farming businesses and plantations, consumer product manufacturers working with farmers, farming cooperatives, and farm service and input providers.
Gain consistency in your farming data
Break farming data silos
Increase agility and speed of innovation
Digitalize your own farming experience
Achieve precise farming activity management
Increase productivity in farm management
Gain transparency on farming operations
Continually improve decision-support models
5%-10%

potential reduction in total farming costs by optimizing application of farm inputs and use of resources on the field

2%-10%

potential increase in revenue from new farming products and services by providing individualized, data- driven farming recommendations

How we can help

Discovery and analysis

Thorough discovery and analysis phase to understand your specific business needs and challenges. Utilize technology as the base for application integration, extension, and access to a robust ecosystem, including AI solutions.

01
Application Integration

Leverage industry-leading business applications across both front-end and back-end systems.

02
Comprehensive Support

Combine all elements to support customer-specific, end-to-end industry processes essential for digital transformation and operating as an intelligent and sustainable enterprise.

03

Our
use-cases

Manufacturing

Curated product selection through a subscription model

Extend and enrich our offering by collaborating across company and external partners to deliver services that continuously deliver value over time to our customers.
High-Tech

Digital Asset Delivery encompassing both Saas and Daas

Embrace digital disruption to transform global organizational processes.
Manufacturing

Accurate data insights for efficient daily farm operations

Extend and enrich our offering by collaborating across company and external partners to deliver services that continuously deliver value over time to our customers.

Products used

Insights

How to avoid rework and time waste in e-commerce development

Let’s take medical literature as an example. PubMed remains the main access point for most researchers, and it functions as an old-style repository. There are no data aggregation functionalities; the search is based on basic criteria that mostly only rely on the article’s title, abstract, and keyword.
Written by
Jons Janssens
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In the Digital Age, a Digital Executive is needed on the Board

Let’s take medical literature as an example. PubMed remains the main access point for most researchers, and it functions as an old-style repository. There are no data aggregation functionalities; the search is based on basic criteria that mostly only rely on the article’s title, abstract, and keyword.
Written by
Jons Janssens
Blogpost

Bring hierarchy to your metrics

Let’s take medical literature as an example. PubMed remains the main access point for most researchers, and it functions as an old-style repository. There are no data aggregation functionalities; the search is based on basic criteria that mostly only rely on the article’s title, abstract, and keyword.
Written by
Jons Janssens
Blogpost

How to avoid rework and time waste in e-commerce development

Let’s take medical literature as an example. PubMed remains the main access point for most researchers, and it functions as an old-style repository. There are no data aggregation functionalities; the search is based on basic criteria that mostly only rely on the article’s title, abstract, and keyword.
Written by Jons Janssens
Blogpost

How to avoid rework and time waste in e-commerce development

Let’s take medical literature as an example. PubMed remains the main access point for most researchers, and it functions as an old-style repository. There are no data aggregation functionalities; the search is based on basic criteria that mostly only rely on the article’s title, abstract, and keyword.
Written by Jons Janssens
Blogpost

How to avoid rework and time waste in e-commerce development

Let’s take medical literature as an example. PubMed remains the main access point for most researchers, and it functions as an old-style repository. There are no data aggregation functionalities; the search is based on basic criteria that mostly only rely on the article’s title, abstract, and keyword.
Written by Jons Janssens
Blogpost

How to avoid rework and time waste in e-commerce development

Let’s take medical literature as an example. PubMed remains the main access point for most researchers, and it functions as an old-style repository. There are no data aggregation functionalities; the search is based on basic criteria that mostly only rely on the article’s title, abstract, and keyword.
Written by Jons Janssens
Blogpost