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larte-design

AI Sales Assistant – Real-Time Text Intelligence for LARTE Design

Sales reps were spending hours daily searching for product details and crafting responses, slowing down deals and damaging the premium tone of client interactions.

  • Industry

    Automotive / AI Sales

  • Client

    LARTE Design

  • Duration

    Aug 2025 – Ongoing

Project Information

SagTech developed a real-time AI assistant integrated with WhatsApp and Facebook Messenger that analyzes live customer conversations and suggests instant, brand-consistent responses. The system uses internal knowledge bases, sales scripts, and product specs to recommend answers, photos, and pricing in real time, ensuring faster and smarter selling.

Technologies Used

OpenAI

Python

Node.js

NestJS

PostgreSQL

Docker

Team Composition

AI Architect

Backend Developer

Prompt Engineer

QA & Integration Specialist

Project Metrics

  • 87.5%

    Response Time Reduction

  • 32%

    Lead Conversion Rate Increase

  • 3

    Languages Supported

  • 800+

    Catalog Items Indexed

Challenges and Solutions

Multilingual Brand Tone Enforcement

Maintaining luxury tone across three languages required tuning AI responses with human-style QA loops and custom embeddings.

Development Phases

  • 1

    Kickoff & Data Mapping

    Analyzed 100+ recent deals and 3000+ WhatsApp/Messenger threads to identify conversion paths and pain points.

  • 2

    NLP Engine & Prompt Training

    Used OpenAI GPT-4 + LangChain + LlamaIndex to fine-tune prompts and behavior trees for real-time suggestions.

  • 3

    Multi-platform Integration

    Connected AI agent to both WhatsApp Business API and Facebook Messenger for real-time event handling.

Advantages of Choosing Sagtech

  • planning

    Zero Context Switching

    Sales team replies directly from WhatsApp/Messenger with AI suggestions embedded inline.

  • testing

    Real-Time Kit Lookup

    Sales assistant finds exact body kit and pricing from code, photo, or client message.

  • develop

    Plug-and-Play Expansion

    Architecture ready for scale across other markets, brands, and languages.

OUR CLIENTS SUCCESS STORIES

clutch

Reviews

6

Rating

5/5

At SagTech, we focus on making our clients' experiences as bright and rewarding as possible. Here's what some of our satisfied customers have to say about working with us:

Yaroslav Gordov

CEO of Wisy

Yaroslav Gordov

Working with SagTech has been exceptional. They delivered our mobile app and admin dashboard ahead of schedule and exceeded all performance expectations. Their deep understanding of investment platforms and user experience resulted in significantly improved processing speeds.

Eugene Prokhorov

Head of Product in Wisy

Eugene Prokhorov

Professionals with excellent knowledge of fintech and automated investments. The project was completed with high quality: a user-friendly mobile and web application, and a well-thought-out admin panel. The team quickly addressed all challenges, including payment integration. If you need a reliable IT partner with a deep understanding of technology, I highly recommend them!

Sergei Chervyakov

CEO of Kwikwins

Sergei Chervyakov

Outstanding team that transformed our backend infrastructure completely. The optimization work resulted in dramatically faster response times and near-perfect uptime in production. Every milestone was delivered ahead of schedule with exceptional attention to detail.

Alexander Kazhemyakin

CEO of Yotewo

Alexander Kazhemyakin

Rare to find contractors who genuinely understand modern web development. Their work doubled our search engine visibility and significantly improved site performance. The scalable architecture they built handles our growing user base perfectly, supporting thousands of daily active users.

Andrej Ruckij

CEO of BullArena

Andrej Ruckij

A professional team with a deep understanding of blockchain technologies and the Play-to-Earn mechanics. The project was executed at a high level, from MVP development to the integration of cryptocurrency operations. The optimization of the gameplay ensured stable real-time performance.

frequently asked questions

  • It analyzes the dialog context and finds the most relevant answer from the database, or generates it based on templates, checking against LARTE tone guidelines.

  • Yes, it finds the needed body kit by code or description and attaches visuals + pricing directly in the response.

  • The system maintains 95%+ accuracy through continuous learning from sales interactions and regular prompt refinements.

  • Yes, the AI integrates seamlessly with popular CRM platforms to sync lead data and conversation history.

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clutch

Reviews

6

Rating

5/5

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