Today is the third year of the epidemic. Because of the epidemic, many companies have been killed and many companies are on the verge of bankruptcy. At the same time, many people will face unemployment. Therefore, in the face of the epidemic, if you want to make money, you must develop a It's okay to have a side job of your own.
Then the
Vending Machine is fine. Why choose a
vending machine? First, the vending machine is unattended 24 hours a day, which reduces labor costs. Second, the venue rent is low. Third, it does not require human-to-human contact, only customers. Scan the code to pay for shipment, the operation is simple, there is a problem with the machine, the manufacturer has after-sales warranty, and the machine is worry-free, just need to replenish regularly.
So far, vending machines are still the most popular way of landing new retail.
At the same time, a large number of fast-moving consumer goods manufacturers such as Nongfu Spring, China Want Want, and Wahaha have also begun to enter the vending machine market strongly and seize share. These big brands take the form of independent research and development or cooperation, and reach more consumers through automatic terminals, thereby increasing market share and sales.
At the same time, more problems have surfaced. For example, how many people need supplementation? When will it be replenished? Which product to supplement? How can we accomplish replenishment efficiently and cost-effectively? Almost all players in this industry know that vending machines should be placed in places with high foot traffic and high repurchase rates, which can increase sales and revenue. But the question is, which point has the most traffic and which point has the most repurchases? Almost everyone knows that the operation of vending machines needs to be refined and intelligent, but how to use big data analysis to reasonably allocate the quota of various commodities to reduce costs and improve efficiency?
To solve the above problems from the perspectives of people, goods and fields requires a complete set of solutions.
In terms of people, the first thing to look at is traffic. The selection of quality points for
vending machines is different from traditional retail stores. Scenarios are more diverse and vertical, requiring a complete set of data models and decision-making concepts.
The second is to look at the crowd, sell suitable products according to the needs of the target group, carry out marketing activities according to the characteristics of the target group, form private domain traffic, and create brand stickiness.
From a commodity point of view, product selection is very important. The display area of each vending machine is limited, so pay attention to which items are placed, which in the past required operators to explore step by step. But now there are many tools for our reference. The high-tech enterprise Jingpin Hi-Tech has developed a unique IoT cloud platform. With the help of the big data analysis system of the operation and maintenance system, the sales products can be adjusted and replaced in time, and the whole link can be realized in one stop. Inventory management and maintenance can effectively speed up the turnover of goods and help improve efficiency.
Finally, in terms of consumption scenarios, except for hospitals (mainly automatic mask machines or vending machines), most of the vending machine scenarios are retail consumption scenarios, so guiding consumers to make decisions is the primary task. For example, in scenic spots, especially in scenic spots that require mountain climbing, it is the best choice to put instant noodles and drinks in vending machines.
