Efficiency is the main challenge in the field of logistics; problems such as warehouse relocation, traffic, energy costs, the rise of e-commerce or obstacles in last-mile distribution must be addressed. In this scenario, companies in any sector are incorporating new technologies that can provide a solution.
And that is how big data for supply chains has become the main bet to achieve such efficiency.
The analysis they perform also works as a complement to that already offered by cloud services or SaaS technology. Large multinationals are clear about this, and the application of technology and big data is common in their logistics processes.
If you also need to improve the logistics of your e-commerce we make an introduction in this article on how Big data can help you and if you sign up for the next logistics event we put you in touch with the best experts in digital services specialized in helping you with your deliveries.
The relationship between big data and supply chain management
What is clear is that Big data consists of analyzing large volumes of generally unstructured data from various sources and that its management allows obtaining relevant information that contributes to sound decision making and better management of the supply chain.
Cloud services enable small-scale analysis and achieve customization of products and services, improve communication between companies and partners, and favor entry into new segments.
But when we focus on the analysis of Big data, and as revealed by the study Exploring the Big data revolution by Apicsthe benefits go one step further. Thanks to big data, we can achieve improved forecasting and planning, increased information availability and greater awareness of market opportunities.
In turn, all this knowledge that can be put into practice, will allow the indicators for a supply chain or logistics KPI to have a better performance and a positive evolution. These KPIs refer to the performance in multiple processes, such as goods receipt and storage, order preparation, delivery time or returns management, among others.
The result will be an increase in productivity, cost optimization, time reduction and, ultimately, improved service quality that is directly related to customer satisfaction during their shopping experience.
How big data is impacting for supply chains on the bottom line
The application of big data for supply chains enables more efficient management of logistics processes. By having more information about their operation and the objectives being pursued at all times, it facilitates the anticipation of problems and the overall control of the chain.
But it also has a positive impact on other phases of the process.
More efficient asset control
This includes vehicles or stored goods, since by knowing demand forecasts, peaks and consumer preferences, operations and inventory levels can be optimized and costs and organizational time can be reduced.
Segmentation of demand
The union between big data and CRM allows you to deepen your actions and know in detail the needs and preferences of consumers.
Not only will you be able to tailor your communication and customer experience to that information, but the products and services themselves can be highly personalized.
A good segmentation allows you to build customer loyalty and, as you know, a happy customer is a customer who buys and makes your sales increase.
More follow-up
Managing the information you receive from big data correctly will help you to anticipate what happens and thus set your prices according to the evolution of the market and analyze your product catalog. It can even help you analyze if your machinery is the right one or if you can optimize it.
In this way we arrive at the prevention of incidents, failures, errors and interruptions of any kind in the chain thanks to the detailed monitoring of the supply chain indicators.
Route optimization
The real-time data provided by big data facilitates changes in routes, the setting of time slots or new forms of delivery and, in general, the taking of immediate action in the face of last-minute unforeseen events.
Optimization and anticipation are the keys to deliver what your customers expect, on time and efficiently.
The incorporation of Big data for supply chains as a complement to the technological solutions that have been used up to now, offers companies a series of tools that are beneficial both for them and for their current and potential customers.
This not only increases profits and reduces costs, but also personalizes the user experience and the quality of the product and service requested.
