Jiuzhang Data

Founded by Shilei Zhang in 2020

Analyze retail store metrics and forecast inventory demand to prevent stockouts

You can use Jiuzhang Data to manage retail analytics, plan supply orders, and monitor store merchandise performance. It connects order records, member databases, and supply channels to evaluate real-time sales trends. Teams can track category performance, detect abnormal stock loss, and automate store replenishment orders using predictive models. It also evaluates customer purchase behaviors across online and offline channels, helping multi-location retail chains manage warehouse allocations and improve overall inventory turnaround.

What Jiuzhang Data does

Forecast retail product demand across multiple store locationsGenerate automated inventory replenishment orders for regional warehousesTrack store category sales growth and gross margin performanceAnalyze fresh food discard rates to decrease inventory wasteBuild customer segments using order and browsing behavior dataSimulate promotional pricing impact on overall sales marginsIdentify out-of-stock risks before items run out on store shelvesCalculates future product demand using sales history and trend algorithmsAutomates store replenishment schedules based on multi-warehouse inventory levelsTracks store operational health with reports covering category growth and margin lossMonitors perishables and fresh food waste with loss tracking metricsAggregates customer profiles from mini-programs, mobile apps, and point-of-sale systemsSends early warnings for predicted out-of-stock items and sales lossesProvides simulated pricing and promotion strategy comparison boards