Industry transformation and upgrading(J city consumer production enterprises in F province)

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Question:
1. Online profits are thin and promotion costs are high, accounting for 10 % -15 % of sales.
2. Online goods are mixed, prices are chaotic, and consumers are difficult to distinguish.
3. There are many offline links, low capital turnover, affected by the line, reduced customer unit price, and thin profits.
4. It is impossible to obtain consumer behavior data offline and can not effectively analyze consumer offline shopping behavior.
5. Online line is divided into series of special funds, internal competition, inventory pressure increased.
6. Self-built websites lack streaming methods and offline data can not be shared.
Solution:
1. Establish an online and offline data connectivity platform.
2. Establish a consumer interaction platform to understand consumer needs.
3. Analyze consumer behavior through artificial intelligence + Internet of Things technology.
4. Establish a data model to guide the production enterprise design, production, circulation and other links.

5. Generate user portraits from data models, accurate marketing.

6. Reduce inventory by 30%.

行业转型升级（F省J市消费类生产型企业）

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问题：
1.线上利润薄，推广费高，占销售额10%-15%。

2.线上商品良莠不齐，价格混乱，消费者难以辨别。

3.线下环节多，资金周转率低，受线上影响，客单价降低，利润薄。

4.线下无法获取消费行为数据，不能对消费者线下购物行为有效分析。

5.线上线下分系列专款，内部竞争，库存压力增大。

6.自建网站缺少引流方式，线上线下数据无法共享。

方案：
1.建立线上线下数据互联互通平台。

2.建立消费者交互平台，深入了解消费者需求。

3.通过人工智能+物联网技术数据分析消费者行为。

4.建立数据模型指导生产企业设计、生产、流通等环节。

5.数据模型生成用户画像，精准营销。

6.减少库存30%。