Retail FMCG

Data middle office

Based on PERCENT Technology's data middle platform product system, provides one-stop middle platform solutions, helps clients integrate enterprise ERP, membership, e-commerce, and other business system data, and gets through to data of consumers scattered in WeChat official accounts, applets, APPs, and stores, to form a unified user system, interconnect the data of product marketing, online and offline channels, upstream and downstream of supply chains, etc., and realize the full-lifecycle management of data access, data governance, data modeling, and data services, so as to turn data to assets and assets to businesses. It provides data foundation and data services for retail enterprises' data operation, user operation, intelligent supply chain, store location selection, marketing interaction, and other businesses, and helps retail FMCG enterprises complete digital transformations of high quality.

Omni-channel user digital operation

Through the integrated governance of omni-channel data of consumers, combining data mining analysis, algorithm models, industry operation experience, etc., it helps customers build a global membership operation system and improve the digital interaction capabilities of enterprises and members.

Perceptionless marketing: Capture the global information of consumers at any time, perceive consumers' immediate needs, conduct supply and demand assessment and timely interaction, and stimulate the potential consumption needs of consumers.

Ultimate experience: The consumer experience and commodity delivery form are not subject to physical form restrictions, the consumers are not restricted by location, time, and stores, and commodities are not restricted by content, form, type, and quantity.

Everyone has his own view: Based on a 360° customer portrait, it meets the individual needs of consumers and provides consumers with differentiated commodities, services, and experiences.

Big data business decision analysis

Through a unified big data sharing and analysis platform, perform prospective forecasts and analysis facing production and operation links such as investment & procurement, operation management, marketing, and logistics & delivery. Using a series of big data mining models and algorithms, including sales forecasting, marketing models, association mining, intelligent selection, comprehensive gross margin, sales forecasting & inventory management, user lifecycle, brand lifecycle, etc., it provides users at all levels of the enterprises a unified support for decision analysis, improves data sharing and circulation capabilities, and forms a data-driven business management mode.