Category:
Marketing and Sales
Customer service
Industry: Logistics
A logistics company engaged in handling international transport orders, which receives hundreds of inquiries from customers in various formats every day. The number of inquiries caused difficulties in their efficient processing. The increasing number of orders and the diversity of data have forced the need to improve operational processes.
The variety of query formats made it difficult to handle
Customer requests came in different formats (e.g. PDF, Excel, emails), which caused problems with their unification and manual entry into the system.
Manual data processing led to errors and delays
Manual data copying and analysis increased the risk of errors and increased the response time to customer inquiries.
Inconsistencies in the data hampered the execution of orders
The lack of consistency in the information provided by customers caused errors in orders, which negatively affected the efficiency of sales processes.
Inability to quickly track the status of queries
The team had difficulty monitoring what stage each query was at, which made it difficult to manage priorities and affected service delays.
Automatic conversion of data from different formats
Thanks to the integration of artificial intelligence and n8n, it became possible to automatically process files in various formats and convert them into a consistent form, ready to be saved in the system.
Automate the query process
A system has been created that independently analyzes emails, reads data from attachments (e.g. XLS, PDF, HTML) and automatically saves them in the Airtable database, eliminating the need for manual work.
Validation and instant error reporting system
Implemented an automatic data validation mechanism that detects irregularities and immediately sends notifications to the team or contacts the customer to clarify issues.
Dashboard for monitoring query status
An interactive dashboard has been implemented that shows the status of each query in real time, allowing the team to respond quickly and better manage priorities.
Process automation reduced the risk of data errors by 75%.
Automated information processing has accelerated the response to customer inquiries by 60%.
Optimization of processes increased work efficiency and improved customer satisfaction.
Deployment time
1 month
Time saved
225 h per month
Cost of implementation
9 000 EUR
Return on investment
after 4 months
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