ROI-mathematics: how much does Dialogiq by QazCode save on call center expenses?
Every extra minute in the call center eats into profits, while ordinary chatbots annoy clients. How can you reduce expenses without losing service quality? We offer a solution with measurable results.
Dialogiq — Conversational Intelligence Platform
🧠 Personalization that drives profit
🕐 Less time, more savings
One of the main advantages of AI in call centers is the reduction of inquiry processing time.
We help companies automate customer interactions across multiple channels with the help of an intelligent bot.
And most importantly — it adapts to the specific business tasks, not the other way around.
On average, our clients achieve ROI within 3–6 months. Contact us and we’ll calculate the ROI you can expect from integrating Conversational AI into your business.
- Live talk: trained on real dialogues, understands context, and sounds human;
- Multilingual: can freely switch between languages in a single chat;
- Scalability: from call center to internal digital assistants;
- Speed: processes inquiries instantly, even during peak loads.
And most importantly — it adapts to the specific business tasks, not the other way around.
On average, our clients achieve ROI within 3–6 months. Contact us and we’ll calculate the ROI you can expect from integrating Conversational AI into your business.
📊 How do you calculate the ROI of Conversational AI?
Even small improvements in these metrics can lead to significant financial results.
Thanks to AI, operators decrease operational expenses (OPEX) and increase average revenue per user (ARPU).
Script is simple:
Script is simple:
- Clients get solutions faster → are satisfied → and don’t call again;
- Agents handle only the difficult cases;
- High level of service → higher NPS, lower churn, higher LTV.
💸 OPEX becomes ARPU
AI can not only respond quickly, but also text like a human. Today, large language models trained on the specifics of a particular field (telecom, for example) can do the following:
👉 JPMorgan Chase has already saved $500 million thanks to personalized AI tools that predict client needs and reduce the amount of manual work.
- Understand complex inquiries;
- Take into account the client’s history;
- Even communicate in multiple languages within a single conversation.
👉 JPMorgan Chase has already saved $500 million thanks to personalized AI tools that predict client needs and reduce the amount of manual work.
👉 For example, the German optical retailer Mister Spex cut the duration of each call by 30 seconds. At the scale of a large company’s call center, this adds up to thousands of hours and hundreds of thousands of euros saved each year.
