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AI and Chatbot to optimize customer service and automate processes in ecommerce. What was the first impetus to use AI in Lancerto? Transferring highquality advice from Lancerto stationary showrooms to online what I mean mainly is help with good styling e.g. what shirt to choose for a jacket, tie, pocket square, etc.. The second factor was the provision of online advice hours a day. Our internal Contact Center is open from a.m. to p.m., Monday to Saturday. Outside of these hours we are unable to help the customer. Additionally, the use of AI was intended to relieve the Contact Center during working hours. What goals did you set for yourself before implementing the Chatbot?
Main goals: a h availability. b Support in the purchasing process at every stage of the purchasing funnel. c Improving the customer's experience with the brand. d Carrying the shopping cart. e Possibility to automate CC processes. f Integration with Algeria WhatsApp Number marketing automation systems. How long did the AI implementation process take and what were the biggest challenges? The implementation process lasted over months and included the following stages: Defining the goal: The first step is to precisely define the goal you want to achieve using AI. Be it process automation, data analysis, pattern recognition, etc. Data collection and preparation: AI requires a large amount of data to learn and learn from. It is necessary to collect appropriate data, clean it, process it and prepare it for analysis. This is time consuming and requires specialized knowledge. Model learning and training:
The process of training an AI model involves providing it with data so that it learns to recognize patterns and make appropriate decisions. This can require a lot of processing power and time, especially if you have large datasets. Model optimization and validation: Once the model training is completed, it is necessary to optimize it so that it performs as best as possible. A validation process should also be performed to ensure that the model achieves expected results and does not introduce erroneous interpretations. Implementation and Testing: Once the training and validation of the AI model is completed, it can be implemented in a real environment. At this stage, it is necessary to conduct detailed tests to ensure that the AI .
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