Leveraging Data Analytics to Solve Cold Chain Problems

Advanced technologies in the cold chain sector minimise the challenges and cater to the logistic requirements. For instance, data analytics provides information about a product from point A to point B. This improves the efficiency of deliveries and maximises business profits. Moreover, data analytics in the cold chain sector can positively impact socio-economic areas, for its accurate and real-time information allows operators to prevent food wastage. It can definitely reduce the percentage of people who go to bed hungry. Know how data analytics is solving cold chain problems:

Gives real-time data
Operators can incorporate sensors, tags and trackers on the products. These tags and sensors lodge various product information such as humidity, light exposure, physical shock, temperature and other factors. Once it reaches its destination, scanners can extract information about the products through tags and sensors. Additionally, the operators can directly access data on the phone or computer—this real-time data updates both operators and shippers about product conditions and whether they are fit to go ahead.

Helps plan better routes
Tilting of the product or temperature drops can happen due to excess traffic, unsteady roads or unpredictable climatic conditions. Data analytics allows operators to examine which routes these issues occur, whether it happens frequently, and how many products are damaged on a particular route. This information helps them search for new routes where the connectivity is better and infrastructure is impeccable. This can eliminate potential damage and loss and ensure product safety.

Minimises waste
The monitoring system provides intricate details of the product – from its origin, packaging, loading and unloading to its destination. The operators have constant checks on product temperatures, physical conditions and packaging state. Any drop in temperature or physical movement can be immediately reported to the shippers, who further take corrective measures and prevent food wastage. Data analytics can tell you under what conditions this occurred, which alerts you and allows you to alter things accordingly.

Helps make better decisions
To minimise wastage and maximise efficiency, operators must know the why’s and what’s of damage and its frequency. Data analytics answers why the damage is occurring, where it is taking place, what the possible causes are and if there is a fault in the packaging material or solutions. These answers allow you to make better decisions and design a sustainable and effective model for the cold chain process.

TESSOL solutions
TESSOL offers TAMsys – an asset monitoring system that integrates data and provides information to the operator. It is known for its performance, accuracy and reliability in the cold chain process. We aim to enhance your business, minimise wastage and transform cold chain logistics with our proprietary solutions.

The cold chain sector is expected to grow at over 20% CAGR by 2025 and this wouldn’t be possible without accommodating advanced solutions like data analytics and more. These technologies will make the cold chain operations robust and, in time, run the process effortlessly. For a top monitoring system in your cold chain process, contact TESSOL – our solutions will enhance your business, help you create an impact on the market and make you an unmatched competitor in your segment.