Key areas of service development:

The company operates with a core focus on enabling clients to validate the integrity of their supply chains and ensuring more than required traceability. The aim is to add value to the information gathered throughout the supply chain and based on client needs, make the data available to authorities, consumers or any other supply chain actors that require this information to improve their handling practices. Our focus in research and development is on the creation and design of services and smart tools (apps) that can provide the provenance trust, thereby creating TRUSTABILITY. This term, “trustability”, has been defined by us to cover the following 5 elements, which are critical for managing perishable value chains (see the figure here below).


Consumers have demonstrated their willingness to pay for products that they trust.

Cloud Computing

We set up reliable cloud computing services for data processing and database storage. Furthermore, we provide applications based on multiple sources of cloud services using green energy wherever possible to lower environmental impacts. Emphasis is put on combining the strength of cloud computing with localization within each leg of the supply chain. Cloud computing is one of the backbones of our research and development focus as it gives necessary power and capacity to host required infrastructure for the applications. While supply chain information increases dramatically with real-time capability, the need for fast and reliable data processing and possible product hazard signalling, which can be accessed from anywhere over the internet, has also increased in recent years. Our service development is based on “Software as a Service” (SAAS), big data analysis and data storage that is tailored to different clients’ needs.

Machine to Machine and Wireless sensor networks

Machine-to-machine (M2M) refers to technologies that allow both wireless and wired systems to communicate without human intervention, making it possible to reduce costs and improve efficiency and service for customers. Wireless sensor networks (WSN) are M2M systems that rely on cellular networks to communicate with web servers that collect the data, further process it and store it. The combination of different M2M technologies within supply chains gives possibilities of simple, real-time identification and information collection along the supply chain in the form of localization and sensory data. Our research and development has focused on the implementation of such technologies in actual supply chain situations and the software development and use of technology units is improved on the basis of actual data, which is collected in research based field trials and/or in actual supply chain validations for our clients.

Data collection frameworks

We focus on data collection frameworks for supply chains, with connections to various systems such as ERP systems, M2M networks and quality control systems. The collection and sharing of the information in the supply chain system is enabled to a degree that is specified by clients.

Food Traceability

The data framework offers the option of full chain traceability with minimal efforts and implementation. The strong link to other systems makes data upload/download easy to/from ERP systems, quality systems and data collection forms using handheld consoles or through other means of integration with existing manufacturing systems.

Supply Chain Collaboration

Supply chain collaboration is among the most important factors in order to improve and enhance traceability, which leads to trustability and goods provenance. The company has carried out considerable research within supply chain collaboration, mainly in areas of technology implementation, data sharing and trust within the supply chain.

Quality Data Management

Quality management is an increasingly important factor within all perishable supply chains. Quality and product safety is important for all actors in a supply chain. Even though shared responsibility already exists to ensure that no quality problems arise in a single stage or handling location within the supply and value chain, one of iMonIT’s goals is to improve the issue of quality management by defining the responsibility in a more transparent way.

Sustainable Food Systems

Over the last two decades, concerns regarding sustainable food have increased. Demands for information on quantified environmental impacts to assist decision making have drastically increased. One of the tools used is the Life Cycle Assessment (LCA) methodology. Information gathering in the supply chain is therefore necessary in order to obtain correct information on products, their environmental impact and their carbon footprint. Our research and development efforts have followed suit and the information gathering in the entire supply chain has increasingly taken a direction towards environmental parameter monitoring options, thereby linking the supply chain partners together in order to have access to appropriate environmental information and certain data services in this area.

Quality Indicators

Quality is not the matter of only a single partner in a supply chain, it involves all of them. Even though point measurements are made, the product quality cannot effectively be interpreted unless intelligent models are used that predict the estimated shelf life. With data collection throughout the entire supply chain, effective mathematical models can be designed that make this estimation possible. iMonIT puts focus on this type of quality indication.

Verifiability of Data

iMonIT is a SME that can be defined as being a “Big Data” company, with specialized focus on mass data handling for information within perishable supply chains. Various data collection opportunities exist in modern supply chain systems, but many of them are constantly collecting relevant data without up-to-date database connections. Therefore, it is becoming more and more difficult to properly analyze the data, thus possibly preventing timely decision making. The data can be of different form in the supply chain, such as temperature monitoring at various stages along the chain, and today, no true interoperability exists to make connections between the different actors in the supply chain. The application of smart, real-time temperature monitoring devices and RFID technology, via the iMonIT services, will enable fully traceable and interoperable data exchange options for temperature data. This opens up possibilities for installing and/or implementing e.g. predictive tools for assessing remaining shelf-life of perishable products and making timely interventions to remove products that have been temperature abused. First-in, first-out (FIFO) management of incoming goods to cold store depots can be implemented on the basis of time-temperature history, thereby not only having reference to labelled shelf-life at the point of original production. These value saving measures and reduction in the number of potentially wasted products, along with ensuring consumer safety by delivering the best possible products to the market, are incorporated into the iMonIT philosophy of creating proper means for TRUSTABILITY.

Latest News

iMonIT attending the Allergy and Free From show, London

The iMonIT team is heading to London to attend the Allergy and Free From show on 8. July at Kensington Olympia. It is a great platform to see the latest food trends and consumer expectations.

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iMonIT at Smart AgriMatics

Smart AgriMatics is a joint conference of three projects funded by the European Commission, under the 7th Framework Programme. The three projects who organise the conference are agriXchange, ICT-AGRI ERA-NET and SmartAgriFood.

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MAR 25
Field tests of Tomatoes and Poultry

iMonIT is now participating in field test to view how tomatoes and poulty can receive real time information on temperature and location.

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