AI Auto-Dialer for Promo Campaigns – Voice Bot with Purchase History Personalization

Customers increasingly ignore mass SMS and email campaigns — open rates drop to 10–20%. A voice bot personalized with purchase history boosts conversion 3–5× compared to text channels. We develop AI auto-dialer systems that not only inform about promotions but also engage in conversation and place o

AI Development Areas

Frequently Asked Questions

Latest works

  • image_website-b2b-advance_0.webp
    B2B ADVANCE company website development
    1441
  • image_web-applications_feedme_466_0.webp
    Development of a web application for FEEDME
    1302
  • image_websites_belfingroup_462_0.webp
    Website development for BELFINGROUP
    998
  • image_ecommerce_furnoro_435_0.webp
    Development of an online store for the company FURNORO
    1267
  • image_logo-advance_0.webp
    B2B Advance company logo design
    714
  • image_crm_enviok_479_0.webp
    Development of a web application for Enviok
    1006

Customers increasingly ignore mass SMS and email campaigns — open rates drop to 10–20%. A voice bot personalized with purchase history boosts conversion 3–5× compared to text channels. We develop AI auto-dialer systems that not only inform about promotions but also engage in conversation and place orders during the call. Over 5 years, we have completed 120+ deployments for retail, banking, and telecom.

Key Problems Solved by the System

Low conversion of mass campaigns. SMS and email open rates are 10–20%, while 70–80% answer a call. A voice bot holds attention up to 45 seconds, and a personalized offer based on purchase history drives orders.

Lack of personalization. We build the promo message dynamically: considering the customer's favorite category, average order value, and recency of last purchase. The bot uses a RAG approach RAG: it retrieves the relevant promotion from the database and injects it into a template.

Legal non-compliance. The system checks consent against the opt-in database, logs opt-outs, and respects time restrictions. Compliance is embedded at every stage.

How We Do It: Case Study of a Hypermarket Chain

A retail chain wanted to boost footfall for a "30% discount on home appliances" promotion. Previously, they sent SMS codes — conversion was 2.3%. We deployed a voice bot with dialogue capabilities.

Stack: Python + FastAPI, LLM GPT-4o for scenario generation, 1536-dim Embeddings for customer-specific promotion retrieval, Silero TTS, CRM integration via REST API.

The bot loads customer history, uses RAG to find a suitable promotion, synthesizes speech, and asks clarifying questions. If the customer agrees, the bot sends an SMS with a payment link or connects a live agent. Conversion rose to 11.4%, campaign ROI was 340%.

async def build_promo_message(customer: dict, promo: dict) -> str: """Build a personalized message""" personalization = await get_personalization(customer) if personalization.get("favorite_category"): category_mention = f"for {personalization['favorite_category']}" elif personalization.get("last_purchase"): category_mention = "for items similar to your last order" else: category_mention = "" template = f""" Hello, {customer['first_name']}! We have a special offer {category_mention}: {promo['headline']}. {promo['discount_description']}. The offer is valid until {promo['expiry_date']}. Would you like to learn more or place an order right now? """ return template.strip() 

Why an AI Auto-Dialer Outperforms Text Campaigns?

Comparison of key metrics:

Channel Average Conversion Contact Duration Dialogue Capability
SMS 2–5% 5 sec (reading) No
Email 1–4% 10 sec (scan) No
Voice Bot 10–15% 30–45 sec Yes

The voice bot achieves 3–5× better conversion and also gathers additional customer insights during the conversation. Cost per lead can drop by up to 40% compared to SMS campaigns.

How to Comply with Advertising Call Regulations?

The system automatically checks the number against the consent database (Article 18 of the Federal Law “On Advertising”). If no consent, the call is blocked. Each call records the time: weekdays 9–20, weekends 10–17. At the start, the bot introduces itself and states the purpose; at the end, it offers an opt-out via the “Stop” command or SMS. All opt-outs are immediately added to a blocklist. Penalty savings from compliance can be significant.

Process and Timelines

Stage Description Typical Duration
Analytics Study audience, purchase history, scenarios 3–5 days
Design Define segments, templates, dialogue flows 3–5 days
Development Configure LLM, TTS, CRM integration 7–10 days
Testing A/B tests on part of the base, iterate 4–5 days
Deployment Rollout, documentation, training 2–3 days

Basic version: 3–4 weeks. Extended (with A/B tests and ROI analytics): up to 1.5 months. The cost is calculated individually based on your integrations. Contact us for a free consultation.

Example Dialogue with a Customer

Bot: “Hello, Anna! This is Electronics-24. We have a promotion on smartphones — up to 30% off last year's models. Are you interested in smartphones?” Customer: “Yes, which brand?” Bot: “Samsung and Xiaomi. Which one interests you?” Customer: “Samsung.” Bot: “Great! We have the Galaxy A54 with 2000 cashback points. Would you like to order?” Customer: “Yes.” Bot: “We’ve sent a payment link via SMS. Thank you for your order!”

What's Included in the Deliverable

  • A working voice bot with personalization and segmentation.
  • Integration with your CRM (REST API, WebSocket, or message queue).
  • Analytics dashboard showing conversion, ROI, and call logs.
  • Operation and administration manual.
  • 2-hour operator training.
  • One month of post-launch support.

Request a pilot launch — we'll run an A/B test on 1,000 customers and demonstrate the real conversion lift.

Why Choose Our AI Auto-Dialer?

We guarantee transparent reporting, full compliance with 152-FZ, and up to 50% budget savings on marketing campaigns compared to traditional methods. Get a free project assessment — contact us today.