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In-House LLM for AI Chatbots Built for Real Business Use Cases
Why Chat ON Desk Built Its Own In-House LLM for AI Chat Automation
Most AI chatbots today rely entirely on generic large language models. While powerful, these models are not trained on your business data, industry workflows, or product catalogs, which leads to inaccurate answers, poor intent detection, and low conversion rates.
To solve this, Chat ON Desk has developed its own In-house Large Language Model (LLM) — purpose-built for customer conversations, commerce intelligence, and domain-specific automation.
Our in-house LLM combines proprietary intent detection models, industry-fine-tuned AI, and a custom product search engine, delivering highly accurate, conversion-focused AI chatbots for businesses.
What Is an In-House LLM?
An in-house LLM is a large language model that is:
- Designed, trained, and controlled internally
- Fine-tuned for specific industries and business workflows
- Optimized for real customer conversations, not generic text generation
Unlike public LLMs, Chat ON Desk’s in-house LLM is trained on structured business logic, real customer queries, and domain-specific datasets.
Proprietary Intent Detection Built for High-Intent Conversations
At the core of our in-house LLM is a proprietary intent detection engine.
How It Works
Instead of guessing user intent using generic embeddings, our model:
- Identifies buying, support, browsing, booking, and comparison intents
- Maps user queries to predefined business actions
- Dynamically adapts responses based on conversation stage
Benefits
- Higher lead qualification accuracy
- Reduced irrelevant AI responses
- Better handoff to human agents
- Improved chatbot conversion rates
This is especially critical for WhatsApp chatbots, website AI assistants, and omnichannel inbox automation.
Fine-Tuned LLM for Ecommerce and Travel Domains
Ecommerce-Focused AI Training
Our in-house LLM is fine-tuned specifically for ecommerce use cases such as:
- Product discovery
- Order tracking
- Returns and refunds
- Abandoned cart recovery
- Upsell and cross-sell conversations
The model understands SKU-level data, product attributes, categories, pricing logic, and availability, making it far more accurate than generic AI models.
Travel-Domain AI Intelligence
For the travel industry, the LLM is trained to handle:
- Booking inquiries
- Destination-based queries
- Package comparisons
- Date-based availability
- Pricing and itinerary logic
This makes it ideal for travel agencies, tour operators, and booking platforms.
We are actively expanding our in-house LLM training to additional industries including real estate, education, healthcare, and SaaS.
In-House AI Product Search Engine (Not Just Text Generation)
Most AI chatbots fail when users ask:
“Show me red shoes under ₹5,000 in size 9”
Chat ON Desk solves this with a dedicated in-house product search model, tightly integrated with the LLM.
Key Capabilities
- Search by product name
- Filter by attributes (color, size, price, brand)
- Navigate by categories and subcategories
- Rank products based on relevance and intent
The result is a chatbot that behaves like a smart shopping assistant, not a generic AI responder.
Why In-House LLM Outperforms OpenAI, Gemini, and Other Public Models
While Chat ON Desk integrates with OpenAI, Gemini, and Perplexity, our in-house LLM offers key advantages:
| Feature | Public LLMs | Chat ON Desk In-House LLM |
|---|---|---|
| Replies | Rule-based | AI Powered |
| Domain training | Generic | Ecommerce & travel specific |
| Intent detection | Probabilistic | Proprietary & deterministic |
| Product search | Limited | Native, attribute-based |
| Data control | External | Fully internal |
| Custom workflows | Limited | Fully configurable |
This hybrid approach ensures This hybrid approach ensures accuracy, privacy, and performance.
Built for Omnichannel AI Chatbots
Chat ON Desk’s in-house LLM powers AI chatbots across:
- Website chatbots
- WhatsApp Business API
- Instagram and Facebook Messenger
- SMS and RCS
- Omnichannel inbox environments
Conversations stay context-aware across channels, enabling seamless customer journeys.
Enterprise-Grade AI with Full Data Control
Because the LLM is built and hosted internally:
- Your data is never used to train public models
- Business logic remains fully private
- AI behavior can be customized per brand
This makes it suitable for enterprise, D2C brands, and regulated industries.
The Future of AI Chatbots Is Domain-Specific LLMs
Generic AI chatbots are no longer enough.
The future belongs to in-house, domain-trained LLMs that understand:
- What customers want
- How businesses operate
- When to convert, assist, or escalate
With its proprietary intent detection, ecommerce and travel intelligence, and AI-powered product search, Chat ON Desk’s in-house LLM sets a new standard for business-ready AI chat automation.