Brightics Machine Learning

Predict product sales

By predicting demands and sales of products, sales can be optimized. Through more accurate prediction of sales, the promotiion effects can also be analyzed.

[Values for business]
- Optimize sales and preemptive market response through demands/sales prediction
- Anlyze promotion effects through accurate sales prediction
- Calculate product life cycle and adjust launching period for new products based on the sales trend in the past & plan promotion

Analyze market response

It is possible to quickly find out about the market response by analyzing positive/negative feedback from customers based on buzz words arisen from SNS.

[Values for business]
- Find out about causes of customers' negative opinions regarding brands, product categories based on buzz words arisen from SNS / Manage product quality with prompt response
- Analyze buzz words and influencers from SNS, news and tech forums

※ Buzz words: customers' opinions about products, which can be found online including SNS, news and tech forums

Predict visitors by store

The customer satisfaction can be improved by establishing efficient workforce plans through prediction of the number of visitors to the store, optimizing the workforce allocation based on the customer visit patterns and analyzing customer behavior data.

[Values for business]
- Predict the total sales amount by studying the prediction results of the number of visitors, labor cost and the conversion rate (CVR) / Reduce 11% of topportunity/loss cost of sales
- Improve operation effiviency by optimizing workforce allocation based on the customer visit patterns / Improve customer satisfaction through data analytics on customer behavior

Analyze marketing effects

It is possible to not only measure the degree of the sales influence depending on marketing activities but establish marketing plans depending on the investment size by promotion by establishing data-analytics-based marketing decision making schemes.

[Values for business]
- Measure modeling-based investment performance
- Predict the degree of sales increment influence and ROI depending on marketing activities
- Measure performance of promotions by product/transaction channel
- Establish data-analytics-based marketing decision making schemes
- Investment size/mix depending on marketing activities and promotion purposes

Customized recommendation

It is possible to provide customized services by predicting the preference of products/ad by customer. The customer satisfaction will be improved and the marketing targeted based on customers will be available.

[Values for business]
- Developing engines that recommend customization by predicting consumers' preference and suggesting highly preferred items
- By realizing algorithms that provides recommendations based on customization, utilizing the analytics results for customized recommendation businesses (e.g. products, ad) by combining with IoT in the future
- Expect the improved satisfaction by recommending based on customization through Prescriptive Analytics