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Ten Major Management Problems Faced By Garment Enterprises

2011/8/17 11:20:00 54

Management Problems Of Clothing Enterprises

1. financial business

Integrated

Business is out of line with finance, and financial and business reconciliation is time-consuming and arduous.

Assessment

It's hard to do that.


2. orders will be on-site and analyzed.

There will be a large number of customers with short time, slow order input and low accuracy.


Management of more than 3. business models.

Under a variety of business models, such as: offices, branches, product divisions, independent departments, manufacturing chains, and circulation chains, standardized management is powerless.


4., the problem of channeling goods between channels.

There are different commodity policies for different customers, but the problem of customer fleeing can not be solved.


5. channel price policy and reconciliation.

Different customers have different prices on different commodities, and there are different types of business, such as distribution, consignment, buyout, and so on.


6. store sales and

Promotion

Terminal stores are integrated into sales and storage. According to the market and competitors, sales promotion strategy is flexible and diverse.

Isolated island

It is difficult to manage.


7. remote control of sales terminals.

Shoes and clothing enterprises are characterized by "short sales period, decentralized operation and centralized management". The business data pmission is not timely and the operation situation is difficult to analyze.


8. competitors and display information.

Competitor's sales, market and display information has not been systematically analyzed and summarized, and the standard display of new listing can not be delivered to the terminal in time.


9.VIP member management.

VIP is the core resource of the company, but from VIP's data collection to qualification, VIP points and rewards are scattered in various stores, it is impossible to plan a unified and effective VIP member incentive policy.


10. business analysis and decision making.

A large number of businesses in real time occur, data scattered in various departments, unable to make data analysis according to decision needs, from data.

Excavate

Produce effective information.


 

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