Xiao Hui went to a restaurant and ordered a pickled fish.
How did this little plate of pickled fish come to Xiao Hui?
The fish farms need to raise fish, vegetable farmers grow vegetables, the pickling factory pickles sauerkraut, the warehouse stores the ingredients, the logistics company transports the ingredients, the chef of the restaurant makes the sauerkraut fish, and the waiter sister brings it to Xiao Hui.
The production and trading system formed by multiple entities such as suppliers, manufacturers, warehousers, transporters, distributors, retailers, and end customers is the supply chain system.
for example:
Xiao A is the owner of a restaurant. Seeing that the Spring Festival is coming, he believes that business must be very hot during the Spring Festival, so he bought a lot of fresh ingredients. As a result, this Spring Festival was very deserted, with few customers, and Xiao A could only squat in front of the restaurant and sell vegetables.
Digitization
Based on cloud computing, AI, IoT, big data and other technologies, the intelligent supply chain provides common key technologies for the perception and cognition of multi-source heterogeneous data for the entire supply chain. Compared with traditional supply chains, intelligent supply chains have massive amounts of data, laying the foundation for intelligent decision-making.
Visualization
In order to enhance the synergy of the supply chain, the intelligent supply chain visualizes the data of production, circulation, and consumption, so that every participant in the supply chain can clearly perceive the current status and key information.
Intelligent
The intelligent supply chain can help enterprises carry out intelligent modeling, intelligent decision-making, and feedback the decisions to various business systems, making intelligent decisions that are more accurate, more efficient, finer-grained, and more consistent than humans. At the same time, the decision-making engine of the intelligent supply chain can continue to learn according to the machine learning system, so that the decision-making system continues to evolve and grow.
Why do you say that?
Because JD’s positioning for itself is a technology and service company based on the supply chain; JD’s future vision is to cultivate the entire supply chain for a long time and lead the construction of an intelligent supply chain.
When initially introducing the intelligent supply chain, we said that the intelligent supply chain has achieved intelligence in the three aspects of production, circulation, and consumption. So what advantages does JD.com have in these three areas?
In terms of smart production , JD’s C2M reverse customized supply chain can shorten the company’s new product launch cycle by 67% compared with traditional methods; JD’s automatic replenishment platform can predict production accuracy as high as 92%.
In terms of smart distribution , JD.com has a coverage rate of 99% in counties and districts in mainland China. At the same time, JD.com also has a 10,000-level network plan that can increase the timeliness of the entire network by 5% and achieve the ultimate experience of delivery in the fastest 15 minutes.
In terms of smart consumption , JD’s smart customer service can support 1 billion+ product consultations, and JD’s “Aegis” system accurately analyzes user opinions. In addition, "Photo Shopping" can also support the rapid search of billions of goods, realizing unlimited retail in all scenarios.
User insight
The essence of user insight is the analysis and prediction of shopping behavior, including inferring user behavior motives, such as hanging out, price comparison, weak purchase intention, strong purchase intention, etc.; it also includes predicting user behavior and predicting the end of the user’s viewed products Behaviors, such as direct withdrawal, collection, additional purchases, placing orders, etc.
Market insight
If user insight is a micro analysis, then market insight is a macro analysis, that is, an analysis of commodity competitiveness. Market insight can identify competing products, understand the competitiveness of products in the market, ranking analysis and sales trends; can insight into target potential customers, multi-dimensional analysis of population characteristics, and identify market size and competition saturation.
Smart marketing
Today's marketing needs are no longer the same as traditional marketing, but require intelligent marketing with thousands of people. How to achieve precise marketing? Based on user portraits, user behavior causal inferences, demand forecasts, and thousands of people model, select the timing and marketing strategy for precision marketing to increase the conversion rate of a single.
Reverse customization
In the traditional commodity market, users can only be forced to accept what kind of commodity the company produces. But now, the user has the final say on what kind of products the company produces. The company customizes popular products based on user data. This is reverse customization.
Reverse customization is based on JD’s massive user and product data, starting from consumer demand, multi-dimensional in-depth exploration of consumers’ potential needs, and customizing explosive models; reverse customization supports customization based on UV conversion rate, improving the conversion of new products and upgrading old products; Support customization based on comment prediction, strengthen important positive comment keywords, and reduce negative keywords.
Case 1: Xinfadi's supply chain control tower
As we all know, a serious new crown epidemic broke out in Xinfadi in Beijing in June this year. In order to resume work and production in Xinfadi as soon as possible, the JD supply chain platform has established a "supply chain control tower" to help managers better manage various scenarios in Xinfadi.
What scenes need to be managed?
Every day, sellers in Xinfadi need to register and provide their own ID cards, business manufacturing, employee information, vehicle information, etc. This information can ensure that Xinfadi can better carry out digital management.
At the same time, once every buyer enters the new place, he needs to make a corresponding membership machine, make a corresponding appointment on the platform, and get his own pass code to enter the corresponding area and realize the entire agricultural product transaction process.
On the large visual screen, we can see how many vehicles and people enter the park every day; how many agricultural products and how many meat, poultry, eggs, and milk are traded every day will be clearly displayed on the platform so that managers can decide The supply quantity of agricultural products and daily necessities. At the same time, the corresponding vehicles and transportation in the park can be detected, which can be executed more efficiently and avoid vehicle jams.
This supply chain control tower allows managers to determine and control the entire flow of people, vehicles, and transactions to ensure security monitoring in the Xinfadi Park and flexibly face complex situations.
Case 2: Reverse customization of Gree Intelligent Supply Chain
JD Zhilian Cloud once cooperated with Gree to conduct a series of reverse customization.
On the one hand, through the data analysis of the massive model, the product selection was realized, and the core single product that was more suitable for upgrading and more potential was found; on the other hand, a better product attribute scheme was output through the data simulation model. Finally, through the model prediction of the intelligent supply chain platform and the analysis of the market, the entire market plan was verified from two perspectives.
During JD 618, Gree's refrigerator became the best performing product at the same stage. At the same time, through the reverse customization of such a product capability, JD.com has guaranteed the entire product development time, shortening it from the original 93-day development cycle in the traditional sense to about 28 days.
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