Consolidate the economic data, supply chain information and retail market trend to anticipate the behavior of the market
Utilize, transform, and integrate mass volume of big data
which retrieved from retailer, supplier, local market and shoppers
Inventory imbalances are removed because of the accurate predictive analytics.
Stocks consumption prediction and real-time replenishment
Rapid growth of e-commerce online business
Big challenge to business of brick-and-mortar stores
under COVID-19
O2O (online to offline) stores new industry trend
Precise statistics analytics for real-time stocks inventory on hand quantity and on-shelf availability
Measure the effectiveness of promotional strategy
Offer budgeting insights and guidance for better decision making
Develop campaigns which are tailored to customers’ needs
Make strategic and competitive data-driven decisions planning by predictive analytics
Streamline the business with category management procedures, including category structure definition, performance measurement, strategy definition, implementation, and category review
Shopper are price sensitivity
Segment current and potential customers into different categories
Act as a tool that furnish customerised business solutions and supply chain management to suppliers and retailers
Working Hours
Monday – Friday
9:00a.m. – 6:00p.m.
Saturday – Sunday
-Closed-
Units 1312-1313, 13/F., Building 19W,
19 Science Park West Avenue, Hong Kong Science Park,
Pak Shek Kok, New Territories, Hong Kong