Which has a negative impact

HongKongPhone

Strategic losses can be made. The following is a supplementary introduction about the product background: Sales target: B-end customers within the Xiaobai company platform. Service content: Provide B-side customers with last-mile delivery services for C-side special-shaped items. Involved objects: B-end customers, C-end users, platforms, and third-party transportation capacity. Market situation: It is a stock market, and there are very mature competing products in the market. B-side customer problem: When there are orders for special-shaped items, B-side customers can only log in to the third-party APP to issue orders and call external transportation capacity, but cannot issue orders within the Xiaobai company APP, on the efficiency of B-side customers. Influence.




The company's intention: First, intensively socialize companies with special-shaped transportation capacity and establish a matching trading platform. Secondly, build the company's internal APP ability to issue third-party Hong Kong Phone Number transportation capacity to solve merchant efficiency problems. Current progress: MVP test has just been completed, with an average of orders per day. Based on the above background, Xiaobai did not rush to start the growth work, but sorted out the growth work from the overall perspective of growth. Step : Analyze the overall growth situation Assessing growth feasibility - looking for PMF: Through actual visits to





customers, Xiaobai found that there is indeed a need to issue orders for special-shaped goods, and especially when business is busy, customers need to open other platforms for delivery, which affects efficiency. Customers are eager to solve this problem question. Xiaobai also took stock of the platform's customer base and estimated that the average daily maximum order volume is about , orders. The market size is not very large. However, now that the company has decided to solve this problem and enter the market, Xiaobai is not too entangled. The company has built an MVP product and found early customers, with an average daily order size of about Customers recognize the product and express their willingness