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In this exclusive interview, we invited Amo Xu, CTO of TEDIA Technology, to provide an in-depth interpretation of the technological advancement and core value created by the TEDIA Intelligent Beverage Dispensing System for chain brands. The discussion covers system architecture design philosophy, key technological breakthroughs, and real-world industry applications, aiming to offer scientific and professional decision-making references for chain tea beverage brands when selecting intelligent dispensing solutions.
1. TEDIA’s system R&D capabilities have attracted broad attention in the industry. Could you briefly summarize where TEDIA’s technological leadership lies?
At the algorithm level, TEDIA has developed a patented weighing-feedback dispensing algorithm that achieves dispensing errors of less than 1% even for non-homogeneous, high-viscosity ingredients such as fruit purées and yogurt. By incorporating dynamic pump-speed adjustment technology, we have also effectively resolved splashing issues during dispensing.
Looking ahead, TEDIA will continue to invest heavily in R&D. By combining neural-network-based control algorithms, we aim to explore new possibilities such as calibration-free, zero-waste precision dispensing, eliminating material waste during calibration and helping customers maximize cost savings.
In terms of system scalability, as one of the earliest companies to develop intelligent beverage data systems, TEDIA has a deep understanding of real customer needs. We provide a comprehensive set of open APIs, enabling seamless integration with customers’ existing information systems. In addition to supporting one-click import of existing recipes and order data, the TEDIA APCP multi-layer collaborative management system, which incorporates MES and KDS capabilities, can synchronize full-chain beverage production data to customers’ IoT systems in real time—supporting long-term data asset accumulation and value extraction.
Importantly, TEDIA’s technology iteration strategy always respects existing customers. Software and algorithm upgrades are delivered via OTA updates, ensuring previously deployed equipment continues to evolve technologically and preserving long-term investment value.
2. How does the TEDIA system address the complex organizational structures of large chain brands?
I believe our team DNA is a key advantage. Since 2008, TEDIA’s system and algorithm teams have been deeply rooted in the foodservice industry, cumulatively serving hundreds of thousands of stores. We have a profound understanding of the operational and management challenges faced by chain brands.
As a result, our system architecture supports multi-level management structures, including headquarters, regional offices, and individual stores, with features such as hierarchical recipe distribution and data permission isolation. At the same time, TEDIA remains committed to supporting small and mid-sized brands—transforming large-chain management experience into practical, deployable system features that help emerging brands upgrade their management structures and grow alongside us.
3. Are there customized solution cases addressing complex needs of large chains? Could you share an example?
In one global chain project, store staff across regions spoke different languages. TEDIA implemented a lightweight language-pack architecture, enabling rapid support for additional languages while keeping translation scope manageable—ensuring fast deployment within tight timelines.
To address cross-time-zone data challenges in global operations, we implemented intelligent time-zone calibration and dynamic business-day segmentation based on store geolocation data, achieving a balance between centralized control and localized flexibility.
In another case, a leading brand required data isolation for overseas franchisees. TEDIA implemented a single-brand, multi-merchant data model, ensuring strict operational data separation across franchisees and safeguarding data independence for the brand’s international expansion.
4. How does the system ensure stability during peak periods such as holidays or promotions? What optimizations exist for data processing and device coordination?
TEDIA employs multiple technical strategies. First, we use a distributed computing engine to decompose large order volumes across multiple nodes for parallel processing. The TEDIA APCP cloud platform supports tens of millions of cups’ worth of data processing per day, with each cup generating dozens to hundreds of data points—easily handling peak operational loads.
Second, through real-time traffic monitoring and elastic containerized deployment with dynamic load balancing, both computing and database instances can scale elastically. This keeps peak response-time fluctuation within 5%, even when traffic surges by more than tenfold.
5. How do you prevent lag, errors, or data loss in high-concurrency scenarios? Are there disaster recovery or emergency scaling mechanisms?
From the outset, TEDIA designed its control systems and HMIs with offline operability as a top priority. Once a store completes deployment and receives recipes, devices can operate offline for 7 to 30 days, depending on customer requirements. During offline operation, all operational data is stored locally.
For disaster recovery, TEDIA uses a multi–availability-zone architecture with complete isolation of network and power across zones. Failover time is under 30 seconds, ensuring service continuity.
Even in the event of data center outages, stores can continue normal operations. Once connectivity is restored, all offline data is fully synchronized to the central data center, ensuring data integrity.
6. What quality control measures are in place to ensure software reliability across different environments?
TEDIA maintains a professional, comprehensive QA team and a mature quality control system. Defect prevention includes developer self-checks, cross-code reviews, and automated scanning. Testing is supported by a tens-of-thousands-level test case library covering diverse real-world scenarios, combining automated and manual testing.
We follow an agile development model with bi-monthly major releases. Minor releases must achieve a test pass rate above 98% before progressing to the next delivery environment. Continuous integration pipelines generate test builds automatically, and only versions validated in simulation and real-data environments are released to production.
7. How is quality and progress managed across development stages to ensure efficient delivery for chain projects?
Intelligent beverage equipment is core operational infrastructure. Once staff rely on automated production, manual preparation skills naturally decline. Any system failure can significantly impact store operations—making quality control critical.
TEDIA adheres to standardized development processes, integrating diverse customer requirements into single delivery versions wherever possible. Requirements are abstracted into standardized features, with customization enabled via feature toggles, reducing version fragmentation and improving delivery quality.
Deployment follows a phased validation model—pilot stores, formal store rollout, and full-scale deployment—using gray-release mechanisms to ensure stability. By combining agile development with standardized processes, TEDIA delivers large-scale projects with speed and reliability.
8. How does the system integrate with existing brand digital systems, and how is data interaction efficiency ensured?
TEDIA primarily uses standard HTTPS REST APIs, supplemented by MQTT and WebSocket protocols, ensuring data integrity while enhancing real-time synchronization. Store operation data is written to databases at millisecond-level latency, with daily API calls reaching tens of billions.
To avoid overloading customer transactional systems, TEDIA employs traffic shaping and buffering mechanisms when pushing subscribed data—preventing system crashes while maintaining data continuity.
9. What are TEDIA’s plans for integrating emerging technologies, and how does this openness benefit brand innovation?
TEDIA is exploring several key directions:
Through open technical interfaces, TEDIA also supports integration with emerging technologies such as blockchain, enabling end-to-end digital traceability from production to consumption.
10. What are the biggest challenges in system implementation for chain brands?
The first challenge is the mindset shift from manual operations to equipment-state monitoring and data-driven decision-making. The second is aligning existing business processes with intelligent systems.TEDIA’s customer success team supports pilot deployments on-site, backed by remote technical teams. We align requirements, resolve workflow issues, validate solutions in real operations, and then guide brands through phased transformation, helping both new and existing stores transition smoothly.
On the other hand, the balance and adaptation between the brand’s original business processes and the intelligent system. Currently, TEDIA’s customer success team will be on-site during the brand’s pilot phase, supported by the back-end technical team remotely, to help the brand quickly master the usage of the "new tools". In the early stage, we align needs with customers, sort out process pain points, and solve potential problems such as operational workflows. After matching customer needs, we will set up official stores, import official formulas, and conduct a period of actual verification to confirm the rationality of all processes, the effectiveness of needs, and whether functional data indicators meet the standards. Third, we will assist the brand in progressive transformation, that is, launching customized customer needs in phases, helping customers gradually adapt to the new automated processes of intelligent equipment, and supporting the brand in promoting the intelligent transformation of existing stores.
TEDIA is always committed to helping every member of the brand from headquarters to stores fully understand the information system, realize digital transformation, and maximize the value of intelligence.
11. How does TEDIA ensure data security and rapid incident response?
TEDIA employs multiple security layers. Devices use AES-256 symmetric encryption and RSA-2048 asymmetric encryption. Databases implement RBAC-based access control, ensuring data isolation across headquarters, regions, and stores, with full audit trails.
Operationally, IoT-based real-time monitoring enables automatic detection of over 95% of faults, supported by multi–availability-zone disaster recovery and rapid after-sales response.
12. How does TEDIA help optimize total cost between visible procurement costs and hidden risk costs?
Intelligent beverage equipment is now essential infrastructure for productivity modernization. Chain brands should evaluate equipment selection from a long-term strategic perspective, not just customization needs.
Digital upgrades typically progress through four stages: pilot testing, direct-store rollout, new-store standardization, and legacy-store retrofit. Misalignment between equipment architecture and scale can cause repeated investments and exponentially increasing risk costs.
TEDIA applies an “end-in-mind” methodology, delivering large-chain–ready architectures from the outset. Through best practices and full-lifecycle risk management, we significantly reduce hidden costs such as decision delays and system rework.
13. What is TEDIA’s technology roadmap for the next 3–5 years?
Sustained leadership requires sustained, high-level R&D investment. TEDIA continuously experiments, iterates, and learns through trial and error.
Our roadmap includes:
Enhanced multimodal HMI, using sound, light, and visual cues to improve usability.Vehicle-grade communication technologies to support rapid peripheral expansion (e.g., cleaning and disinfection modules).Deeper AI integration for material forecasting, fault prediction, and dispensing accuracy optimization.
Edge computing upgrades for next-generation products to significantly enhance processing capabilities.
14. Where will digital competition in the tea beverage industry focus in the future?
Competition will move beyond automation toward device + system–driven data accumulation. Through the APCP system, TEDIA helps brands build regional taste preference models and production efficiency forecasting, supporting data-driven decisions in inventory, operations, and store expansion—driving the industry’s shift from experience-based to data-driven management.
15. What advice would you give brands planning to build digital and automated infrastructure through intelligent beverage systems?
Build systematically using a “point–line–surface” approach, and prioritize the accumulation and utilization of structured data assets. Adopt a progressive transformation path, validating through pilot stores before full rollout.
While upgrading digital infrastructure, brands should focus on customer experience enhancement—using intelligent equipment to free staff from manual tasks and enable greater focus on service, innovation, and operations. Data assets then empower managers with evidence-based insights, driving a comprehensive evolution from store efficiency to brand value enhancement.
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nanazhu@tediatech.com
18321154854（Workday 10:00 - 19:00 BJT）
Building B, Huihu Building, No. 10 Moon Bay Road, Suzhou Industrial Park, Jiangsu Province
Building B1, Taishang Creative Park, No, 428 Wubao Road, Minhang District, Shanghai
Learn More/
Make an Appointment
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