List of Alibaba Quick BI Customers
Alibaba Group
969 West Wen Yi Road, Yu Hang District,
Hangzhou, 311121,
China
Hangzhou, 311121,
China
354 421-2434
Retail
124320
$137.3B
Since 2010, our global team of researchers has been studying Alibaba Quick BI customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Alibaba Quick BI for Analytics and BI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Alibaba Quick BI for Analytics and BI include: Pechoin, a China based Consumer Packaged Goods organisation with 523 employees and revenues of $2.57 billion, Puracotton, a China based Consumer Packaged Goods organisation with 12000 employees and revenues of $596.0 million, Shanghai Macalline Commercial Real Estate Investment, a China based Construction and Real Estate organisation with 500 employees and revenues of $91.0 million, 21keg, a China based Retail organisation with 45 employees and revenues of $31.0 million and many others.
Contact us if you need a completed and verified list of companies using Alibaba Quick BI, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Alibaba Quick BI customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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21keg | Retail | 45 | $31M | China | Alibaba | Alibaba Quick BI | Analytics and BI | 2025 | n/a |
In 2025, 21keg implemented Alibaba Quick BI as a Business Intelligence solution to create a single trusted analytics layer across its newly built middle-office hubs, including Big Supply-Chain Management BSCM, Data Governance DGT, and Consumer Engagement CE. The deployment targeted retail business functions spanning supply chain, marketing, finance, and store operations, centering on real-time data visualization and unified BI consumption for frontline managers and analysts.
The DGT hub led configuration of Alibaba Quick BI by harmonising core dimensions such as order timestamps, regional codes, SKU hierarchies, and finance metrics, and by building an interactive data cockpit that visualises sales heatmaps, profitability, inventory turns, and SKU rankings. Alibaba Quick BI features used included AI assisted data profiling to flag anomalies, NLP search to broaden self service, drag and drop filters for ad hoc pivots, and embedded machine learning models for stock-out forecasting and cross platform ad bid recommendations.
Integrations were implemented through open APIs to stream transactional and marketplace data from ERP and marketplace systems into a cleansed cloud repository that feeds Quick BI for near real-time dashboards. The program automated scheduled ETL jobs over a two month sprint to remove manual refresh work, prepared three tailored dashboards for executives, marketing, and finance, and enabled cross functional visibility for supply chain partners and campaign managers.
Governance work led by the DGT hub established standardised definitions and data profiling rules to resolve prior conflicting metrics, while self service tooling closed the analytics skills gap and accelerated adoption. Outcomes reported from the Quick BI deployment include a doubling of order conversion with ad spend held nearly flat, membership sign ups increasing 45 percent, monthly financial close accelerating by two days, after sales costs reduced by 12 percent, and more than 70 percent of departments producing self service reports using Alibaba Quick BI.
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Pechoin | Consumer Packaged Goods | 523 | $2.6B | China | Alibaba | Alibaba Quick BI | Analytics and BI | 2025 | n/a |
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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Puracotton | Consumer Packaged Goods | 12000 | $596M | China | Alibaba | Alibaba Quick BI | Analytics and BI | 2025 | n/a |
In 2025, Puracotton implemented Alibaba Quick BI, Apps Category . The deployment addressed a 42 million registered member base spread across 300+ offline stores, flagship e-commerce shops and WeChat mini-programs, concentrating analytics and user operations for marketing and membership teams. The implementation linked customer and transaction signals into a single analytical layer to improve SKU-level visibility and persona-driven orchestration.
Alibaba Quick BI was used as the primary reporting and marketer-preview surface while analytic modeling and orchestration components were established as functional modules. AutoML clustering models segmented mothers into “premium delicate”, “trendy new” and “value-seeking township” cohorts, and a knowledge graph mapped those personas to SKU attributes to expose gifting and cross-category gaps. Real-time dashboards in Alibaba Quick BI let marketers preview predicted campaign lift, and a zero-code journey builder enabled the design of pre-heat, burst and re-engagement tracks.
The implementation architecture incorporated Snowflake connectors and Kubernetes micro-services to operationalize models and data flows, completing the rollout in six weeks. Data sources integrated into the analytical layer included the CDP, POS and mini-program event streams, with edge-deployed recommendation services rendering decisions in milliseconds. Reinforcement-learning models timed follow-ups using open-rate prediction, pregnancy-status labels triggered targeted medical-grade diaper content, and churn-risk scoring automated secondary offers.
Governance centered on shifting membership operations and marketing toward persona-driven, data-led workflows, enabling marketers to execute Smart Card-SMS and AI-personalised livestream and coupon campaigns. The first Double 11 after launch recorded store-visit-to-purchase conversion increases of more than 150%, livestream-guided traffic supplied over 10% of total footfall and lifted in-store conversion by 30%. Active-member ratio rose 20% compared to the 618 festival, cross-purchase penetration between household-cleaning and mother-and-baby lines increased 50%, and pregnancy-stage personalisation produced a 70% uplift on targeted SKUs, with qualitative NPS surveys indicating higher satisfaction and stronger emotional resonance.
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Construction and Real Estate | 500 | $91M | China | Alibaba | Alibaba Quick BI | Analytics and BI | 2025 | n/a |
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Buyer Intent: Companies Evaluating Alibaba Quick BI
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Alibaba Quick BI. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Alibaba Quick BI for Analytics and BI include:
- Verging Point Consulting, a United States based Professional Services organization with 30 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD Alibaba Quick BI Coverage
Alibaba Quick BI is a Analytics and BI solution from Alibaba.
Companies worldwide use Alibaba Quick BI, from small firms to large enterprises across 21+ industries.
Organizations such as Pechoin, Puracotton, Shanghai Macalline Commercial Real Estate Investment and 21keg are recorded users of
Alibaba Quick BI for Analytics and BI.
Companies using Alibaba Quick BI are most concentrated in Consumer Packaged Goods, Construction and Real Estate and Retail, with adoption spanning over 21 industries.
Companies using Alibaba Quick BI are most concentrated in China, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Alibaba Quick BI across Americas, EMEA, and APAC.
Companies using Alibaba Quick BI range from small businesses with 0-100 employees - 25%, to mid-sized firms with 101-1,000 employees - 50%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 25%.
Customers of Alibaba Quick BI include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Alibaba Quick BI customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Analytics and BI.