QSR – AI Transcend

Top QSR & CDR Chain Restaurant

Personalized Recommendation

The fast-food industry is highly competitive. Influenced by changing consumer preferences, peer competition and the need for innovative marketing. The client faces challenges in standing out, boosting customer loyalty and sales.

Core pain points are ineffective marketing with wasted resources and low-precision product recommendations that affect click-through and conversion rates, harming ARPU and sales.

Core Problems Solved

We empower the client to use AI and digital technology to address marketing and recommendation inefficiencies. By analyzing large-scale customer data, including browsing behavior, purchase history and demographic information, it enables personalized marketing and accurate product recommendations, aiming to improve customer engagement, increase sales and optimize marketing resource allocation.

Key Features of the Solution

Achievements and Benefits

2%

By leveraging customer data analytics to understand individual preferences and behaviors, the company has been able to present more relevant products and promotions to each customer.

As a result, customers are more likely to make additional purchases or choose higher-value items, ultimately leading to this 2% rise in average spending.

$14 Million

Thanks to the continuous optimization of marketing strategies, the application of advanced digital technologies, and the deepening understanding of customer needs, the annual growth for single-channel sales is about $14 million.

CX Enhanced

AI-driven personalized recommendations enhance the customer experience by providing more relevant product suggestions, which is crucial to increase customer satisfaction and loyalty.

Ready to Transcend?

Empower your enterprise to think faster, operate smarter and grow stronger.

Top QSR & CDR Chain Restaurant

Store and Supply Chain Forecast

The restaurant industry is highly competitive, with changing consumer demands, diverse habits and new competitors posing challenges. These make it hard to predict market needs, leading to resource allocation issues.

Core pain points include inefficient inventory management, causing overstocking, stock-outs, food waste and lost sales. Manual workforce scheduling fails to adapt to customer flow, resulting in labor cost hikes and lower service quality.

Core Problems Solved

We leverage AI to use data-driven methods to address the challenges of inventory management and workforce scheduling in restaurants. By collecting and analyzing multi-dimensional data, including order data, product information, weather data and holiday data, it enables accurate forecasting of sales and customer flow, helping restaurants optimize resource allocation.

Key Features of the Solution

Achievements and Benefits

90%

In the prediction of a certain brand’s restaurants, compared with a major competitor, the accuracy of T + 1 prediction is 90% (versus 83% of the competitor).

70%

In terms of algorithm performance, compared with traditional machine-learning algorithms, the new model reduces the new forecast project algorithm development time by 70% (from 5 months to 1.5 months) and shortens the abnormal problem repair cycle by 60% (from 7-10 days to 2-4 days).

Inventory Optimized. Workforce Scheduling Improved.

AI-enabled intelligent forecasting helps restaurants optimize inventory management, reducing food waste and stock-out situations. In workforce scheduling, it improves the efficiency of scheduling, enhancing the service quality and customer satisfaction.

Top QSR & CDR Chain Restaurant

Voice of Customer Analysis

The fast-food industry is intensely competitive, driven by shifting consumer preferences, new entrants and the need for constant innovation. These factors hamper companies’ efforts to lead the market and meet consumer demands.

Core issues are the lack of timely market insights, delayed innovation and adjustments and ineffective product/service optimization, as insufficient consumer understanding fails to meet expectations, harming satisfaction and loyalty.

Core Problems Solved

We help the client use AI and digital technology to address the challenges of obtaining market insights and optimizing products and services. By collecting and analyzing data from multiple channels, including public and private domains, it aims to gain real-time market intelligence, understand consumer sentiment and identify areas for product and service improvement.

Key Features of the Solution

Achievements and Benefits

Better Market Insights and Product Optimization

Through better market insights and product optimization, it is expected to positively impact sales and cost-effectiveness in the long run.

More Popular Products

By understanding consumer preferences, the company can develop more popular products, potentially increasing sales, and by optimizing products based on feedback, it may reduce waste and rework costs.

Brand Image and Customer Satisfaction Improved

The SuperVOC platform helps the client better understand consumer needs and market trends. This enables more targeted marketing, more effective product development, and improved customer service, thereby enhancing brand image and customer satisfaction.

Ready to Transcend?

Empower your enterprise to think faster, operate smarter and grow stronger.

Top QSR & CDR Chain Restaurant

Knowledge Base Copilot Agent

The fast-food and retail industries face tough competition with high customer turnover and diverse demands. Key challenges include managing massive customer/employee inquiries across channels and ensuring consistent responses.

Core pain points are inefficient support – manual handling causes long response times and high costs (e.g., a global F&B group needing 25+ teams for 400k+ annual employee queries) and fragmented knowledge management, leading to inconsistent, inaccurate responses from traditional chatbots (e.g., <60% accuracy).

Core Problems Solved

The AIGC knowledge base platform we developed for the client uses natural language processing (NLP) and large language models (LLMs) to centralize enterprise knowledge, enabling intelligent chatbots to handle FAQs efficiently. By training models on internal documents (policies, SOPs, FAQs), the solution addresses fragmentation and improves response accuracy.

Key Features of the Solution

Achievements and Benefits

48%

Labor Cost Reduction: Cut HR by 48% (from 25 to 13 agents), saving ~$300,000 annually.

50%

Efficiency Gains: Customer service response time reduced by 50%, with chatbots handling 60% of inquiries independently.

92%+

Accuracy Improvements: Answer accuracy increased from <60% to 92-95% for knowledge-base-related queries.

Top QSR & CDR Chain Restaurant

AI Training

The fast-food industry faces fierce competition, with customer experience and operational consistency as key differentiators. Challenges include high staff turnover, rapid onboarding needs and consistent handling of complex interactions globally.

Core pain points are ineffective “master-apprentice” training – causing inconsistent skills and lack of scenario exposure and high training costs from manual drills, requiring extensive labor hours with limited scalability.

Core Problems Solved

The AI training system uses AIGC-powered role-playing to simulate real-world scenarios, addressing the lack of standardized, scalable training. By leveraging natural language processing (NLP) and large language models (LLMs), the solution provides immersive, on-demand practice for employees to handle complex interactions.

Key Features of the Solution

Achievements and Benefits

60%

Training Efficiency: Reduced manual training hours by 60%, with each employee completing 30% more scenarios per session.

USD 1.2 Million

Cost Savings: Cut training costs by $1.2 million annually, as AI replaced 30% of human coaching hours.

45%

Skill Retention: Post-training error rates in critical scenarios dropped by 45%, with employees scoring 20% higher on compliance assessments.