A leading enterprise in the cable industry

BangQi Technology has provided the cable company with an agent-based intelligent solution centered around an AI-powered dynamic commodity price estimator, an AI-driven channel data analyst, and an AI-assisted smart order processor. Leveraging multi-agent collaboration technology, the solution enables a seamless "automated sensing—intelligent decision-making—execution闭环" workflow for business operations.

Under the traditional manual quoting model, sales staff must manually track raw material market trends, inventory levels, and customer demands—a process that is time-consuming and highly susceptible to errors. In contrast, the AI-powered Dynamic Product Quoter can instantly access real-time market data on price fluctuations for materials like copper and aluminum, while also factoring in multi-dimensional elements such as inventory status, historical customer orders, and credit ratings to automatically generate the most competitive pricing方案. Additionally, it enables region-specific, customer-type-based, and product-specification-tailored pricing strategies, ensuring that prices remain both competitive in the market and aligned with the company’s profit margins. This not only speeds up and improves the accuracy of quoting but also significantly enhances the customer experience—and ultimately drives higher order conversion rates.

In the sales process, stores often rely on sales representatives to manually communicate and input orders into the system, which leads to inefficiencies. The AI-powered Intelligent Order Clerk, by integrating with store-specific systems, empowers stores to independently handle tasks such as placing orders, checking inventory, and tracking logistics—eliminating the need for sales staff to follow up on each order individually. Additionally, it can automatically trigger inventory checks and shipping instructions based on order status, ensuring seamless synchronization of upstream and downstream information while minimizing manual intervention. This not only shortens order response times but also frees sales reps from repetitive ordering tasks, enabling them to focus more effectively on customer acquisition and market expansion—ultimately boosting the company’s overall sales efficiency and enhancing its market reach.

Cable product models are diverse and come in a wide range of specifications, while raw materials—such as copper and aluminum prices—are subject to frequent market fluctuations. Traditionally, relying on manual calculations and experience-based pricing not only requires sales teams to spend considerable time organizing parameters and compiling spreadsheets but also makes it difficult to ensure accuracy. As a result, errors or delays in quoting often lead to compromised customer experiences, directly impacting the company’s order conversion rates and eroding customer trust.

Pain points in data analysis

Under a group-wide and multi-branch operating model, key data such as sales revenue, inventory levels, and channel performance are scattered across different systems and regions. Manually managing this process—repeatedly exporting, consolidating, and comparing data—consumes significant time and effort, often requiring multiple team members to work continuously for days just to complete a single comprehensive analysis. This inefficient approach not only drives up labor costs but also leads to data delays, leaving management unable to grasp the full picture in real time. As a result, the ability to make proactive and agile decisions is severely compromised.

Pain Points in Channel Sales

Traditional cable companies heavily rely on sales representatives to manually handle order placement and channel expansion—orders often require multiple rounds of communication via phone, WeChat, or paper forms, followed by manual data entry into the system. This process is not only time-consuming and prone to errors but also significantly prolongs customer wait times. Moreover, it diverts sales reps’ valuable energy away from strategic tasks like customer outreach and market development, making it difficult for them to focus on expanding their territories and boosting overall sales growth—ultimately slowing down the company’s ability to scale its presence in retail channels and hindering its capacity for robust revenue expansion.

Solution:

BangQi Technology has provided the cable company with an agent-based intelligent solution centered around an AI-powered dynamic commodity price estimator, an AI-driven channel data analyst, and an AI-assisted smart order processor. Leveraging multi-agent collaboration technology, the solution enables a seamless "automated sensing—intelligent decision-making—execution闭环" workflow for business operations.

AI Product Dynamic Quoter

Under the traditional manual quoting model, sales personnel must manually track raw material market trends, inventory levels, and customer demands—a process that is time-consuming and highly prone to errors. In contrast, the AI-powered Dynamic Product Quoter can instantly access real-time market data on fluctuations in prices for materials like copper and aluminum, while also factoring in multi-dimensional elements such as inventory status, historical customer orders, and credit ratings to automatically generate the most competitive pricing方案. Additionally, it enables region-specific, customer-type-based, and product-specification-tailored pricing strategies, ensuring that prices remain both competitive in the market and aligned with the company’s profit margins. This not only accelerates and enhances the accuracy of quoting but also significantly boosts customer experience and ultimately drives higher order conversion rates.

AI Channel Data Analyst

In a group-wide operational environment, sales, inventory, and channel data are often scattered across different systems and subsidiaries, making manual integration a time-consuming and labor-intensive process. An AI-powered channel data analyst can automatically collect and consolidate diverse business metrics—from multiple subsidiaries and across various regions—such as sales figures, inventory turnover, and channel engagement levels. Leveraging advanced algorithms, it generates real-time, dynamic reports and trend forecasts, enabling management to gain immediate insights into the company’s overall performance. Compared to traditional manual analysis, which typically requires multiple team members and can take days to complete, this intelligent tool delivers seamless data integration and analysis in mere seconds. This not only significantly reduces labor costs but also equips decision-makers with more timely and accurate insights to drive smarter, faster business strategies.

AI-powered Order Assistant

In the sales process,门店 (stores) often rely on sales representatives to manually communicate and input orders into the system, leading to inefficiencies. The AI-powered Intelligent Order Clerk, by integrating with store-specific systems, enables stores to independently handle tasks such as placing orders, checking inventory, and tracking logistics—eliminating the need for sales staff to follow up on each order individually. Additionally, it can automatically trigger inventory checks and shipping instructions based on order status, ensuring seamless synchronization of upstream and downstream information while minimizing manual intervention. This not only shortens order response times but also frees sales reps from repetitive ordering tasks, allowing them to focus more effectively on customer acquisition and market expansion—ultimately boosting the company’s overall sales efficiency and enhancing its market reach.