Machine Learning in the Consumer Goods Industry
The “Consumer Products” sector, which includes the world’s largest companies, contains products that everyone in the world constantly uses in their daily lives, from foodstuffs to personal cleaning products, from cleaning products to detergents, so it is an indispensable element of social and economic life.
To take the correct position in the market, respond quickly to market demands, and provide the best service to customers, the main element of maintaining market share in this sector where competition is intense is keeping up with technological developments.
In the last ten years, there has been a transition from classical retail understanding (small tradesmen) to organized retail (supermarkets, etc.). Organized retail companies are developing rapidly in the market and increasing their spread, especially in urban areas. On the other hand, companies with a classical retail approach, which still provide a large part of employment and are generally local, have difficulties inefficiency. Therefore, these companies need to start using more practical and modern methods to strengthen and continue in the market.
At this point, every company in the consumer goods sector aims to carry out the supply chain of their products in the most effective way. Therefore, it attaches importance to technological investments to ensure the supply and logistics of high–volume goods in a short time. In particular, companies aiming to increase productivity benefit from technological developments and intelligent systems to manage their supply chains better and ensure the applicability of these systems in business processes.
Another transformation area that many international companies in the consumer goods sector pay attention to is the ability to think globally and act locally. Therefore, companies must consider consumers’ purchasing behaviors, habits, and sensitivities in the local market while launching their new products, positioning their brands, and determining their marketing strategies. At this point, digital transformation opportunities come into play.
In this direction, companies get support from digital platforms to understand what attracts the attention and attention of customers. These platforms act as a bridge between customers and companies to reach the customer creatively while planning actions for data from operations. As a result, the competition in the sector is also reflected in the digital world. One of the digital transformation technologies they encountered while taking their first step into this digital world is machine learning.
With the infrastructure to be provided by machine learning, experts in the global network of consumer products and retail service companies in the food and beverage, agricultural products, consumer goods, luxury goods, tobacco, and retail sectors, while our customers around the world, thanks to this international and sector-oriented professional network, Regardless of company size or location, global industry insights, leading practices, and the latest innovative solutions will be accessed, and the bridge between customer and supply chain will become faster and more accessible. In this way, time will be saved, and intermediaries will be eliminated. In this case, it will mean that we can get the goods cheaper.
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