OVOPARK Partners with DeepSeek Mega Model: Setting a New Benchmark for Intelligent Store Inspection in Chain Stores.

OVOPARK’s application of AI capabilities has enabled chain enterprise management to see problems. The deep integration with the DeepSeek mega model further allows the system to “understand problems and make autonomous decisions.” This collaboration signifies an upgrade in-store management from “rule-driven” to “data-intelligence-driven.”

Multimodal Fusion: Bridging the Last Mile in Management Decision-Making.
The core breakthrough of the DeepSeek mega model is its multimodal understanding and generation capabilities. By integrating OVOPARK’s video streams, voice data, customer flow heat maps, and other diverse information, the system can achieve the following: efficiently converting inspection results into well-structured reports; intelligently correlating and analyzing various types of anomaly data to accurately pinpoint root causes; providing store managers with intelligent decision-making recommendations and optimization plans based on historical data and industry knowledge bases, thereby aiding in-store operations optimization.

Adaptive Learning: Tailoring Standards to Each Store
Traditional AI models often rely on fixed rules, making it difficult to adapt to the personalized needs of different stores. The DeepSeek model, leveraging over 4 million real inspection cases accumulated by OVOPARK, can automatically distill best practices. For instance, considering regional consumption differences, the system would recommend increasing the display area for hot drinks in northern stores during winter, while focusing on expanding the SKU range for cold beverages in southern stores.

Human-Machine Collaboration: Empowering Managers with a “Super Assistant”
For business managers, the introduction of DeepSeek by OVOPARK is about identifying issues and reducing decision-making costs. Through natural language interaction, managers can directly ask, “What are the top 3 customer complaint issues in our stores this month?” The system instantly retrieves video clips, generates comparative charts, and includes recommendations for improvement. This “conversational management” compresses what would typically take three days of manual analysis into just three minutes, allowing management to focus more on strategic decisions.

In the future, as large AI models continue to evolve, the store management will enter a new phase of intelligent transformation: AI will not only take over routine inspections but also serve as a real-time decision-making hub – automatically adjusting staff schedules, predicting best-selling items, and optimizing marketing strategies. Within this revolution, the strategic collaboration between OVOPARK and DeepSeek is paving a super highway to the intelligent era for retailers. As competition in the retail sector intensifies, intelligent transformation has transitioned from being optional to a matter of survival. The deep integration between OVOPARK and DeepSeek not only redefines the technological standards for store auditing but also heralds a new industry rule: enterprises that first integrate AI into their management DNA will secure dual competitive advantages in both scalability and operational precision.

About OVOPARK OVOPARK (Suzhou) Technology Co., Ltd (OP Retail) headquartered in Suzhou, China, is a national high-tech enterprise. Since our establishment in 2016, we have been committed to revolutionizing technologies for diverse retail store scenarios: people counting, visitor analysis, customer behavior insights, store operation analysis, and more. OVOPARK’s solutions are meticulously designed with a focus on usability, top-tier security, and adaptable scalability. For further details, please visit our website or reach out to us with any inquiries.