Our client is a leading agricultural and animal husbandry group in China. It owns more than 70 subsidiaries and distribution channels in more than 10 provinces in China, Vietnam and other countries.
Our core team use the digital “pig ID” to monitor the growth and gestation of pigs, effectively increase the littering rate of pigs and reduce the rate of dead hunting.

Our core team use AI establishes a boiler combustion optimization model, adjusts key parameters, increases the amount of coal burned, and helps customers solve the problems of low coal combustion efficiency and unstable production.

Asia’s leading cement company has two cement clinker production lines with a daily output of 5,000 tons, and its leading products are sold in China, the United States, the Middle East, Africa, Southeast Asia and other countries and regions.
Through the integration of data intelligence technology and cement production industrial technology, energy-saving and consumption reduction for cement clinker production is achieved.

AI provides intelligent dispatching technology for powerful enterprise distribution network maintenance plans, and takes over the monitoring and dispatching work of manual dispatchers for a large number of repetitive positive-division planned maintenance.

Our client is a large rubber company, one of the top ten tire companies in the world.
The challenge is the high rubber defective rate.
Our solution is the production line process is optimized, and the AI algorithm recommends the best production parameters to help customers improve the yield rate.

Our client is Asia’s leading commercial distribution group, No. 1 in China’s top 100 retail companies.
Smart inventory system helps customers reduce inventory turnover days.

Our core team used AI technology to build a big data model of solid waste treatment and operation and maintenance algorithms, increase the power generation rate of waste-incinerating power projects, and reduce the number of equipment maintenance.

Our client is one of the top three steel and vanadium manufacturers in the world, their products are widely used in metallurgy, petroleum, railway, chemical, shipbuilding, construction, machinery manufacturing, home appliances and other industries. Their customers are from various countries and regions in Asia, Europe, and the Americas.
Our core team use AI technology to model and analyze the steelmaking operation process and key parameters, recommend the optimal parameters, control the consumption of raw materials, and improve efficiency.

Our client is a market leader in waste-incineration power generatio with 33 waste incineration power generation and treatment projects worldwide; total capacity is 38,000 tons/day.
We delivered AI rrecommendation improvements in real time to increase waste incineration efficiency.

Our client is the world’s top three new energy companies, with the largest scales in photovoltaic materials, silicon materials production.
Our core team use AI technology to analyse the key factors that affect the yield rate, recommend the optimal parameters, and increase the yield rate.

Our client had a lot of data accumulation in the retail business, which needs to thoroughly conduct data analysis and mining applications to meet the industry’s downward trend.
We provided our client with integrated intelligent retail solutions to reduce costs and improve efficiency.

The IoT smart planting system realises automatic temperature, water and fertilizer controls creates the most suitable temperature and humidity environment for vegetable growth and increases production.

Our client is Forbes Asia’s top 100 companies.
The challenge is high maintenance costs for wind turbines.
AI predicts and warns of abnormal operation of wind turbines, helping customers save maintenance costs significantly.

Our client is the top eight dairy companies in the world.
Due the problem of high volatility of supply-deman in supply chian, Quatalent’ core team helped it build a smart supply chain to minimize the waste of raw materials and idle capacity in the supply chain.

Our core team uses an intelligent scheduling solution powered by an AI decision engine to help customers solve delivery delays caused by manual order dispatch.