About BESTORE
BESTORE, founded in 2006, is a brand operator that conducts high-quality casual food business by integrating digital technology with supply chain management and omni-channel sales systems. In 2019, BESTORE pioneered the high-end snack positioning in the industry, providing consumers with products that are high-quality, visually appealing, offer a superior experience, and meet spiritual needs. The company has identified three core directions: clarifying high-quality product standards, focusing on the health and nutrition of specific consumer segments, and catering to consumers' lifestyle scenarios.
BESTORE creates high-quality foods using superior ingredients, craftsmanship, and flavors. Its product portfolio now covers over 1,000 varieties across categories, such as meat snacks, nuts and roasted seeds, candies and pastries, dried and preserved fruits, and ready-to-eat specialty delicacies. The company operates multiple nationally certified quality control laboratories in the snack food industry, conducting random product inspections through a combination of sensory and physical and chemical testing.
After officially introducing Automa RPA, Bestore conducted pilot projects in departments such as customer service and finance, demonstrating the possibility for all employees to apply Automa RPA in their daily work. Automa RPA has now become a key technology and tool within Bestore, helping the company reduce costs and improve efficiency.
Operational Statistics
Number of RPA applications deployed: 1,216
Total runtime: 37,712 hours
Automated man-hours: 23,570
Efficiency improvement: 94.3%
Achieved Results
198 employees trained, 41 business staff certified
Reduced manual errors, with faster and more accurate processes
Enhanced employees' sense of personal achievement at work
Empowered business line staff to develop RPA solutions independently
Covered Teams
Retail stores, e-commerce, finance, logistics, group buying, distribution, customer service, and other channel and backend support departments.
Covered Scenarios
Mainly involves repetitive manual operations, cross-system processes, and external data extraction.
High-Frequency Application Scenarios:
Automatic transfer of Qianniu messages to pre-sales
Extraction of express tracking numbers
Automatic refunds for store orders
Refund amount inquiries
Image uploads to the customer service system
Automatic order consolidation from multiple stores
Automa Deliverables
The mismatch between the increasing volume of customer inquiries and limited customer service resources has led to delayed responses, postponed returns and exchanges, and untimely handling of neutral and negative reviews, which seriously affect customer satisfaction.
Leverage Automa RPA to build customer service automation scenarios, reduce the workload of customer service staff, improve response speed, and ensure customer satisfaction.
Managing data from multiple stores across various platforms is complex and requires significant manpower and time to collect data reports, often resulting in data omissions or errors.
Automa RPA breaks down data silos and unifies data standards by automatically collecting operational data from all platform stores. With one click, the data is imported into the enterprise database, allowing the company to accumulate valuable data assets.
The logistics business faces the challenge of multiple disparate systems that are difficult to interconnect, resulting in time-consuming and labor-intensive manual data entry. There is also repetitive work in processes such as order placement and shipment.
RPA solutions bridge and integrate data across systems, automating multiple steps in the logistics process and eliminating repetitive manual labor.