AI analytics that turns a plastics manufacturer's data into business decisions — a working demo.
In this work we carried out for Kayalar Plastik, the goal is clear: to turn the company's scattered data into business decisions. We collected and organized the data and prepared a demo running on real data.
The demo brings together, in a single panel, the AI sales agent and analyses like Customer 360, RFM, Churn, Sentiment and performance. Before taking the system live, we can see together how it will work with real data.
Project overview
We designed a separate screen for each workflow: data upload and analysis, Customer 360, churn risk, sentiment, automated reporting and campaign management are all gathered in a single panel.
There are two standout capabilities. First, conversation analysis: when you upload a customer call, the system parses the conversation; it extracts the tone of voice, emotion, intent (such as price negotiation or a buying signal) and early churn risk, and segments the customer into groups like 'Will Buy'. Second, the AI sales agent: it matches the company's products, industry by industry, with potential customers and offers concrete recommendations.
This is an ongoing project we share with honest transparency; the next step is taking the system live upon approval of the demo.
What's ready so far?
Collecting, organizing and making the company data AI-ready
A holistic customer view with Customer 360
RFM segmentation and Churn (loss-risk) analysis
Conversation / sentiment analysis that extracts tone of voice, emotion, intent and early churn from a call
An AI sales agent (AI Chat) that matches products, industry by industry, with potential customers
An interface that gathers automated reporting and campaign management in a single panel
Views from the demo
A separate screen for each workflow: from the dashboard to customer analysis, from conversation parsing to the AI sales agent.
Let's build the future together.
