Digital Intelligence E-commerce | E-commerce Company Besich Builds Digital Middle Platform to Boost Business Growth
Developing cross-border e-commerce has been listed as one of the seven main tasks in China's e-commerce development strategy during the 14th Five-Year Plan period.
GETECH assists cross-border e-commerce company Besich in building a dual middle platform project, using digitalization as a driving force to help it overcome operational management bottlenecks and accelerate business growth.
In recent years, new forms and models of foreign trade in China have developed rapidly, with the e-commerce industry showing particularly strong growth momentum, expanding nearly tenfold over five years, promoting the transformation and upgrading of foreign trade.
Shenzhen Besich Innovation Technology Co., Ltd., established in 2016, mainly focuses on products for home, office, sports, and other scenarios. Since its inception, Besich has used Amazon as the starting point for its global business operations, continuously expanding into various online and offline channels such as independent sites, Wayfair, and Walmart, with products selling well in major countries and regions in North America and Europe.
Besich's business scale has experienced explosive growth, with per capita benefits leading the industry average; however, the massive volume of orders and diverse channels have posed significant challenges to Besich's operational management: how to alleviate the pressure from rapid growth, how to more accurately tap into the value of data, and how to maintain high per capita benefits; Besich urgently needs to integrate the entire data chain, using digitalization as a driving force to support future business expansion strategies through more refined digital management.
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Main Challenges Faced by Besich
01
Soaring Operational Costs
With the massive surge in business and order data, the company's employee size is rapidly expanding, but per capita benefits are difficult to guarantee, leading to pressure from rising operational costs;02
Severe Product Homogenization
Severe product homogenization makes it difficult to centrally analyze enterprise data and use its value to guide product trends and strategic development decisions;03
Data Security Cannot Be Ignored
Existing operational data is directly connected to third-party systems, and rapidly expanding business data has not yet been standardized, posing significant data security risks;04
Seeking New Development Drivers
The company's management level is already leading in the industry, but with continuously expanding scale, there is an urgent need to introduce new development drivers—powerful digital capabilities.#02
Order + Data Dual Middle Platform Solution
Project Overview
01 Customized development of the order middle platform to achieve end-to-end integration, break data barriers between systems, and achieve paperless operations;
Achieved Results
The Besich dual middle platform project eliminates data silos, uses digitalization as a driver to overcome business development bottlenecks, and helps enterprises build a complete and standardized operation system; it covers products for one-stop online management, including SP-API, Order Center, Customer Service Center, Basic Center, Warehouse Center, and a visual platform; meanwhile, data drives management decisions, maximizes the value of Besich order data, reduces enterprise operation and management costs, and improves order efficiency and per capita benefits.
01
Data Transparency
Through the dual middle platform, business data from various channels is cleaned and integrated, interconnected across systems, achieving overall data transparency and standardization;02
Seamless Data Connectivity
Connect external AWS e-commerce platforms via the SP-API module for smooth expansion, and link systems like NS, WMS, TMS through data push modules, using data as a driving force to break through enterprise management bottlenecks;03
Realizing Data Value
Establish a BI system based on the data middle platform, use the visual platform to model and analyze enterprise data such as orders, operations, quality, and supply chain, realizing the value of enterprise data and supporting more accurate and comprehensive strategic planning;04
Unified Business Platform
Through a PaaS platform, connect to login systems like Feishu and Enterprise WeChat, enabling flexible switching between systems, and achieve unified middle platform management for customers from orders to inventory;05
Reduced Operation and Maintenance Costs
Deploy directly on the AWS cloud platform using self-developed standardized API interfaces, reducing IT operation and maintenance costs.GETECH will keep pace with national development, using independent and controllable products and technologies to fully support the high-level development of e-commerce enterprises with accumulated digital capabilities, promote in-depth and practical international cooperation in the digital field, and advance the integrated development of the global e-commerce supply chain.
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GETECH Middle Platform Competitive Advantages
01
Technical Advantages
GETECH's middle platform is independent and controllable, ensuring enterprise data security; provides a mature and complete digital platform to meet enterprises' rapid customization and development needs; supported by high-tech such as IoT, big data, AI algorithms, and cloud computing, it creates data value and reduces enterprise operational costs through data mining.02
Business Model Advantages
To meet the needs of e-commerce enterprise clients, GETECH offers two main business models: buyout and SaaS subscription. It provides independent and controllable software systems with low IT operation and maintenance costs to meet e-commerce enterprises' digital transformation needs; meanwhile, it allows flexible subscription selection via SaaS based on actual business requirements.03
API Interface and Cloud Advantages
Uses self-developed API interfaces to directly connect with the AWS platform, deploy directly on the AWS cloud, quickly link to business ends, integrate internal and external data with order data as the core, achieving a win-win model.
