Shanghai, 200040,
China
Pechoin Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Pechoin and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 523 Pechoin employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Pechoin has purchased the following applications: Alibaba Quick BI for Analytics and BI in 2025 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Pechoin is running and its propensity to invest more and deepen its relationship with Alibaba or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Pechoin revenues, which have grown to $2.57 billion in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Pechoin intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Alibaba | Legacy | Alibaba Quick BI | Analytics and BI | Analytics and BI | n/a | 2025 | 2025 |
In 2025, Pechoin deployed Alibaba Quick BI to centralize customer analytics and membership segmentation ahead of the Double 11 shopping festival. The implementation addressed gaps in member tenure, purchase cadence and engagement visibility by creating a unified BI surface for marketing and membership operations, using Alibaba Quick BI as the primary visualization and reporting layer in a Business Intelligence stack.
The project implemented AI driven customer analytics, automated tagging and real time dashboards, and modeled historical order data, click stream events and CRM attributes into 30 micro segments defined by join date, order interval, ARPU, activity and propensity scores. Machine learning scoring and next best offer recommendations were published to dashboards, and cohort ROI visualization and propensity outputs were exposed to campaign teams through Alibaba Quick BI to support rapid hypothesis testing and campaign execution.
Data orchestration leveraged cloud native ETL and a columnar data warehouse to provide the modeled dataset, while Lingyang’s DAAS APIs were used to operationalize data feeds and scoring outputs into the BI layer. Operational scope covered omni channel marketing, membership management and paid media planners, and the implementation followed an agile two track roadmap, with Track 1 delivering quick win reactivation and non member onboarding dashboards and Track 2 fusing public domain media data with private traffic to surface cost disparities and refine bidding strategies.
Governance was structured around marketing and membership workflows to accelerate campaign launch cycles, enabling marketers to test, iterate and launch campaigns within hours instead of weeks using Alibaba Quick BI. During Double 11 the initiative produced explicit outcomes reported by the client, including a 15 percent year on year increase in member generated GMV, a 168 percent uplift in conversion of loyal non members into membership and a 66 percent improvement in activation of previously dormant segments, alongside re balanced marketing spend and streamlined analytics workflows.
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