Market data analysis can help retailer and CPG manufactories to learn more about their product performance in the marketplace. Many factors affect sales. Some factors are are easy to see but others not not realize. Product quality, price, presentation, sales channel, promotion, advertising, competition, customers are the factors effect on sales. Sometimes, you may want to know deeper about how factors impacts other, what the problems are, and where the areas can be improved. Market data analysis and market research can help out.
Market operation reporting is an online based reporting system, where users can view reports online on desktop and mobile devices. We use Microsoft Reporting Service and Power BI to create and host the reports, which ensure highest security and functionalities. In order to turn to massive data into online, reports, we will need to process and analyze data in modern data analytics tools such as SQL and Python. We summarize data in various ways to show market performance from different angles. This modern tool is handy and greatly helpful for modern retailing.
Marketing optimization models are extremely useful for promotion strategies to optimize marketing ROI. We build marketing optimization models and use the models to develop strategies for retailers, consumer products manufacturers, and services providers. We customize the models with special marketing metrics to your marketing goals, brands, and selling channels to achieve optimal ROI.
Online product recommendations are useful tools for retailers, CPG manufacturers, and service providers to generate more sales by showing other products to customers. Our product recommendation module is developed to increase market sales and profits through advanced statistical analysis based on shopping data, which can recommend more relevant products to shoppers.
We build custom marketing AI for clients' specific marketing needs. Our marketing AI is built on our predictive machine learning algorithms with specific market metrics and the latest software technologies. Rapidly developing technologies are changing the ways of shopping and living and consumer expectations. New sales channels are emerging and markets are more dynamic. In order to gain competitive advantages in the marketplace, retailers and CPG manufacturers must look forward to future products, markets, and marketing. We are interested in working with companies to develop market AI applications to help retailers and CPG manufacturers stay on top of markets.
We use statistical modeling techniques to build predictive models to predict sales at various geo-levels with various time frames. Models are built on multiple features that may impact sales volume. The common features can be price, promotion, shelf location, event, weather, season, and competitors' marketing events. Sales prediction can help plan product purchases and inventory management. Sales prediction and forecasting can minimize out-of-stocks and overstocks, which can reduce wastes and prevent sales leakages.
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