Home >

How To Reduce Inventory Effectively?

2011/6/3 16:15:00 56

??? 日本語 Fran?ais English 中文

Apparel Inventory Market

Shao Li Gang

Invited experts from China Fashion Buyer Forum

China

clothing

Data analysis expert

Nine one line management consulting chief consultant.

Research Fellow, Peking University Japan Research Center

Reporter: many people who make clothes say that despite careful consideration from every aspect of design to production, it is still impossible to control the market accurately.

Inventory problems are inevitable. What are the ways to reduce inventory?

Shao Ligang: I have a personal view:

Stock

The avoidance is not at the end of the season. The control of inventory starts with the order plan, and the inventory solution is realized in the sales process. The correct way is to manage inventory through data analysis and reduce the inventory to a reasonable state.

That is to say, we can dig deep into the data generated from the purchase and sale of the actual goods, and feedback the problems of the goods.

For example, a brand of a new product, after a period of time sales, how many goods sold, how much inventory and other data information, and deep excavation.

Nine faction one line

Administration

The function of data mining and analysis of software starts from the beginning of goods entering the warehouse. Every day's sales and inventory data are the basis of analysis, so as to judge whether the goods of each link are reasonable, and prompt the possible problems of the goods, so as to guide the manager to make the goods adjustment.

The result of every data analysis is the opportunity to correct mistakes. Once in a while, inventory problems become less and less, and goods and market demand are getting closer and closer. The accuracy of goods management is high and natural efficiency is improved.

Reporter: in addition to the sales statistics of goods, which stage need to carry out data analysis?

Shao Ligang: whether it is goods, sales or display, every stage needs data analysis, all of which are to rectify the deviation of goods management.

Suppose that the product deviation rate of a brand in spring and summer is 20%. Through data analysis, we can find and adjust the problems that may arise on the goods. The fall of goods in autumn and winter may fall to 15%, and the spring and summer in the next year will drop to 10%.

This has achieved a spiral upward rectifying effect. With the decrease of deviation rate, the efficiency of enterprises has gradually increased.

This is currently the software commonly used by garment enterprises in China.

Garment enterprises need at least three kinds of software in the process of operation, one is production management software, the other is operation management software, and three is financial management software. Two

At present, domestic production management software and financial management software technology are relatively mature, but the real operation management decision software is very rare.

Nine the research and development management software of the one line company is aimed at this problem. It uses a more refined management concept to manage the goods in a modular way. In other words, it is to record goods from scratch, and then to the whole process.

For example, a piece of goods must first enter the warehouse, enter a short or long stay session; then from warehouse to terminal, after the terminal, it will enter the display and display link until sales are out.

Although the product is not available, the data information of its mobile state will be retained and fed back to the decision level.

Reporter: so, can data analysis ensure the accuracy of loading?

Shao Ligang: before sales, no one can guarantee that the stock is closely linked to the market demand to 100%.

Emphasizing the significance of data analysis is that if goods and market demand deviate, the result of data analysis can point out the problems of the goods. In the next upper wave band, enterprises can correct these problems, in order to pursue goods close to market demand.

For example, the new brand A was worth 1 million of its products in March, including 10 categories, including 150 thousand short T-shirts and 100 thousand trousers. When the sale of goods sold at the end of this season, the data showed that the short T-shirts sold 100 thousand, the digestibility was 66%, the trousers sold 90 thousand, the digestibility was 90%, the sales of the categories were 820 thousand, the overall digestibility was 82%, the data were analyzed comprehensively and compared, the data of short T-shirts were lower than the overall digestibility, the problem might be that the quantity of the goods was too large, or the time of loading the goods was too late. The data of trousers were higher than the overall digestibility, and the most likely result was that the quantity of the goods was not enough.

Reporter: do you have nine management software, you can enjoy your life without thinking about the goods?

Shao Ligang: of course not.

After all, the software is programmed. When a data analysis result comes out, it can point out some reasons that may cause this result. Specifically, which one or which of these reasons needs to be eliminated one by one by the operator.

This is like a car failure, maintenance personnel through the car owners to reflect the phenomenon, with their own expertise and experience to identify problems that may arise parts, and then through the inspection, and ultimately find the cause of the failure and repair intact.

In addition, uncontrollable factors such as climate change can also achieve automatic information grabbing, resulting in more accurate analysis results.

For example, the average temperature in May 2010 was 25 degrees, and this data rose to 28 degrees in May 2011. But before May 2011, the analysis results from the software came from the relevant data in May 2010. Therefore, in order to get more accurate cargo analysis, it is necessary to inquire about the temperature changes in the future for a while before going to the goods, and then find the data analysis results at last year's temperature to make reference, adjust the shipment plan for this period, and realize the fine management of goods.