In the current international market, quality inspection still largely relies on traditional manual methods. In this fast-paced modern society, this has long failed to meet the market demands. Meanwhile, the industry trend is gradually shifting towards intelligent quality inspection, which forces us to move towards this direction as well. And quality inspection is also a major highlight of the Instadesk product, and it has already gained prominence in the international market.

Firstly, the intelligent quality inspection system is based on SAR, NLP, and large model technologies. It conducts compliance checks on audio text conversations, enterprise WeChat conversations, videos, images, work orders, documents, etc., and ly identifies any issues present. A thorough understanding of the conversation data can help enterprises avoid risks, enhance customer satisfaction, improve operational efficiency, extract data value, and achieve the goal of cost reduction.

So, among all the AI model quality inspection products, why did we choose Instadesk?

First, we have upgraded the multi-modal quality inspection, which provides more comprehensive data coverage.

Second, by leveraging the upgraded large model, we can enhance the quality inspection's ability to understand and make decisions during customer conversations, ensuring the competitiveness of our product.

Third, our results are better. The accuracy rate of ASR translation is as high as 85-90%, and the quality of quality inspection can reach 90%+; in the accuracy comparison with similar products, we have achieved a perfect victory. The target customer group for quality inspection

The main target customer groups are focused on industries such as automobiles, finance, real estate and home furnishing, manufacturing, and retail. There are different solutions for different scenarios. For example, in the customer service scenario, there are online instant messaging, inbound calls, and outbound calls. The solutions for this scenario include quality of service monitoring, work order inspection, and data statistics.

The advantages of the three-model quality inspection approach consisting of small models, large models, and intelligent agents

l The small models have a certain amount of language accumulation and high accuracy. They do not require extensive dialogues for language data accumulation and can complete speech pattern detection through "greeting at the beginning" and "end of the conversation".

l The large models are often used for quality inspection points involving difficult contextual semantic understanding. They can improve modeling efficiency and describe the quality inspection intention through natural language.

l The intelligent agents are typically used in complex quality inspection scenarios. They come into play when large models and small models cannot accurately perform the tasks. Their modeling function is powerful and can meet the needs of most quality inspection scenarios.

The three-model quality inspection framework combines the strengths of small models, large models, and intelligent agents to achieve comprehensive coverage. Small models handle straightforward, pattern-based tasks with high accuracy and minimal data requirements. Large models address complex inspection points that require deep contextual understanding and natural-language reasoning. Intelligent agents bridge the remaining gaps, managing highly complex scenarios where neither small nor large models are sufficient. Together, they ensure accurate, flexible, and scalable quality inspection across diverse use cases.

The core technical advantages are diverse, ensuring the use of customers.

l The ASR core technology capability is outstanding. It has no rivals in the accuracy of speech recognition and speaker separation. It also has rapid real-time response and offline response, which is our core competitiveness.

l The NPL technical capability is superb. The patent certification it possesses is a powerful proof. And the rich corpus knowledge serves as a solid backing, enabling accurate identification.

l The solid big data technology ensures that the models remain advanced and the content is legal, compliant, and correct and reliable. At the same time, it keeps the cost within a reasonable range.

l The eight advantages in intelligent detection lock in the core advantages of the product, combined with the protection of the three-model quality inspection, the support of multi-modal data quality inspection capabilities, and the development of advanced productive forces with the multi-faceted development of data insight ability and data value mining ability. The quality inspection of Instadesk is equipped with advanced international technology, a perfect closed-loop process, comprehensive and reliable functions, mature and sophisticated models, as well as an experienced team. These are the core strengths that enable us to establish a firm foothold in the international market.

Brand Practical Case Studies

A certain brand needs to handle inbound call services related to customer inquiries, customer service, and customer complaint handling. However, during certain peak times, the call volume surges sharply, and the traditional sampling method of the quality inspection team has a low proportion and is prone to missing service violations.

Based on the business pain points, corresponding solutions are proposed. Firstly, the quality inspection score sheet is sorted out through the entire process intelligent quality inspection, and the quality inspection methods are distinguished. On this basis, a new generation of intelligent quality inspection model is established. Secondly, the intelligent quality inspection model is optimized based on the characteristics of the client's business vocabulary, and a periodic accuracy improvement plan is tailored according to the client's requirements. Finally, the conversation content is labeled with the model and customized thematic analysis is conducted to gain a more comprehensive understanding of the current business situation and potential development trends, and to make timely decisions.

Conclusion

To sum up, traditional manual quality inspection is no longer able to meet the demands of fast-paced operations in today's global market. With its SAR, NLP, and large-model-based capabilities, Instadesk has established a strong competitive edge as the industry quickly moves toward intelligent quality inspection. Businesses can swiftly identify risks, boost customer satisfaction, increase productivity, and unlock data value thanks to its multimodal inspection, which covers audio, text, video, images, and work orders.

Three main factors set Instadesk apart from other AI quality inspection products: increased data coverage through improved multimodal inspection, improved conversation comprehension enabled by sophisticated large models, and noticeably better performance—its ASR accuracy reaches 85–90% and overall inspection quality surpasses 90%, outperforming competitors. It provides targeted solutions for a range of customer service scenarios to industries like automotive, finance, real estate, manufacturing, and retail.

Overall, Instadesk delivers a comprehensive, reliable, and technologically advanced intelligent quality inspection solution that aligns with the evolving requirements of the international market.