Transform supply chains with Intelligent Automation
Are you looking to streamline your supply chains to increase efficiency and service quality to gain a competitive edge?
Get startedOn average, Laiye's customers see :
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Leverage our library of use cases for the retail industry to quickly start automating processes that are slowing you down and losing your customers.
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Sales Accounting Processing
Learn how bots can help you automate and reduce time spent on various accounting processes.
Invoice Processing
Learn how bots can help to automate your invoice processes and claims management.
Customer Support
Learn how chatbots and conversational AI can help to service and provide support to your customers.
Transportation Management
Discover how bots can help you integrate data from multiple sources and automate follow-ups.
Order Processing
Discover how bots can help to automate various order processes such as processing payments, sending email confirmations, placing orders.
Inventory Monitoring
Discover how bots can help you monitor inventory in real-time and optimize inventory levels.
Shipment Tracking
Discover how bots can help you extract, record, input and update shipping information automatically.
Data Query and Analysis
Discover how bots can help to scan and capture data automatically, simplifying data analysis.
How Expo Freight Limited used Intelligent Automation to optimize business processes
Expo Freight Limited, a leading international freight forwarder and third-party logistics company, deployed intelligent automation solutions to automate the rule-based and repetitive tasks in its distribution centers and ports.
Success guaranteed, or your money back
Laiye is the first Intelligent Automation platform to offer a risk-free incentive to retailers looking to successfully implement automation and digital transformation in their business.
We work with you to determine what results you want to achieve and will refund 100% of the value of the software license fees if your business goals are not achieved within an agreed time frame.