How We Built an AI Chatbot That Turns Your Love Story Into a Bespoke Ring Recommendation
Case Study - Retail AI
How Auriga IT built a conversational AI that turns love stories into bespoke ring recommendations, bridging the emotional gap between a customer's feelings and Angara's fine jewellery catalogue.
24/7 Personal JewelerConversational AID2C Fine JewelleryOpenAI + LangGraphRingDNA
Published: 9 October 2025 · By Auriga IT · Retail AI · D2C Fine Jewellery
24/7
Personal Jeweler Availability
5-Step
Story-Driven AI Journey
D2C
Fine Jewellery Experience
OpenAI
Language Understanding Layer
Live
Customization on Demand
RingDNA
Emotion-to-Design Mapping
01 - About the Client
Angara
Angara is a D2C vertically integrated fine jeweller founded in 2005 by Ankur and Aditi Daga, backed by a 300-year gemstone legacy. While its online customization tools were already among the most robust in the industry, customers still missed the personal guidance of an in-store expert - which is what Auriga IT was asked to solve using conversational AI.
ANGARA
Angara
D2C Fine Jewellery - Global
Founded in 2005 by Ankur and Aditi Daga and backed by a 300-year gemstone legacy, Angara is a D2C, vertically integrated fine jeweller that controls everything from gemstone sourcing to final craftsmanship. While its online customization tools were already among the most robust in the industry, customers still missed the one-to-one guidance of an in-store expert. Bridging that emotional gap at scale became the brief for Auriga IT.
02 - Challenges Faced
Too Many Choices, Not Enough Guidance
Angara's customers faced four connected problems: choice overload from thousands of ring options with no personalised entry point, filter friction when translating emotions into technical search parameters, purchase anxiety without expert guidance on a high-value purchase, and lost emotional context because traditional catalogue navigation cannot capture a love story.
Many customers arrived knowing the feeling they wanted - timeless, adventurous, delicate - but had no easy way to translate that into a product search. The gap between emotion and a filter-driven catalogue created multiple layers of friction in a high-value purchase journey.
01
Choice Overload
Thousands of ring options without a personalised entry point left customers feeling overwhelmed rather than excited.
02
Filter Friction
Mapping a personal vision to technical site filters like cut, carat, and setting style was counterintuitive and effort-heavy.
03
Purchase Anxiety
Without expert guidance, customers feared making an expensive mistake on a high-emotion, high-value purchase.
04
Lost Emotional Context
Traditional catalogue navigation could not capture a customer's love story, relationship tone, or design sentiment.
03 - Solutions Developed
How Auriga IT Built the Angara AI Ring Assistant
Auriga IT built a story-driven conversational AI jewelry chatbot with seven integrated features: love story capture, ring personality profiling, swipe-based catalogue, AI design partner explanations, live customization, a 90-second micro-journey, and the proprietary RingDNA emotion-to-design mapping engine.
Auriga IT designed a story-driven conversational AI that changes the jewellery-buying journey entirely. Instead of starting with a catalogue, the assistant begins with a love story and guides the customer toward a ring that feels emotionally aligned as well as visually right.
1
It Starts With Your Love Story
Instead of sending customers into a product grid, the assistant opens with a simple invitation: tell me your story. Customers chat naturally about how they met, what makes their partner unique, and what emotions define their relationship.
2
It Builds a Ring Personality Profile
As the conversation unfolds, the AI identifies emotional signals such as strength, elegance, love for nature, adventure, delicacy, and timelessness. These signals are transformed into a structured design profile for a ring that feels personally meaningful.
3
Swipe-Based Personal Catalogue
The AI presents a curated ring collection. Customers swipe right on what they love and left on what they do not. This creates instant visual feedback and sharpens taste preferences without forcing additional technical questions.
4
The AI Becomes a Design Partner
Rather than simply listing recommendations, the assistant explains why a ring matches the customer's story. For example, it can recommend a durable platinum band to reflect a decade-long relationship built on strength and lasting love.
5
Live Customisation on Demand
Once customers find a ring they almost love, they can ask for changes in natural language - such as switching to rose gold or increasing the diamond size. The AI updates the design direction instantly, turning browsing into active co-creation.
6
90-Second Micro-Journey Experience
To make the assistant feel immediate and intuitive, Auriga IT designed a micro-journey that moves from welcome prompt to story capture to curated ring swipes in under two minutes - reducing friction at every step of the buying journey.
Live Demo Journey
7
RingDNA - The Proprietary Emotion-to-Design Mapping Engine
RingDNA is Auriga IT's internal mapping engine that translates emotional language and lifestyle cues into precise, actionable ring attributes. It is the core layer that bridges what a customer feels with what the catalogue contains.
How RingDNA Maps Intent
Emotional Input
Words like vintage, delicate, adventurous, ocean-blue, or low-profile are captured from natural conversation.
Design Translation
Those cues are translated into halo versus bezel choices, prong count, head height, shank profile, and metal palette.
04 - Technology Stack
What Powered the Solution
The Angara AI Ring Assistant is powered by OpenAI LLMs for emotional language parsing, LangGraph for stateful multi-turn conversation management, Langfuse for full observability and cost control, Python and FastAPI for production runtime, and the proprietary RingDNA engine for emotion-to-catalogue mapping.
Category
Technology
Role
Language
OpenAI LLM
Parses emotional customer language into structured preference signals and design intent.
Conversation
LangGraph
Manages multi-step, stateful conversations and remembers preference context across turns.
Observability
Langfuse
Traces every interaction for speed, safety, accuracy, and cost control in beta and production.
Runtime
Python + FastAPI
Provides production-ready APIs, session handling, and integration with catalogue and customization systems.
Mapping
RingDNA
Auriga IT's proprietary engine for translating emotional cues into precise ring attributes.
05 - Results and Business Impact
The Impact of the Angara AI Ring Assistant
The Angara AI Ring Assistant creates an emotion-to-product bridge that lets customers discover rings through feelings and stories rather than technical filters. It delivers 24/7 expert-quality guidance, reduces purchase anxiety through story-driven recommendations, and enables live co-creation through real-time customization - all built on observable, improvable AI architecture.
The assistant creates a far more confident and emotionally aligned buying journey by turning vague feelings into ring recommendations customers can trust.
Emotion-to-Product Bridge
Customers discover rings using feelings and personal stories rather than gemological vocabulary or technical filters.
24/7 Expert Availability
An in-store quality guided experience available at any hour, reducing dependence on live sales support.
Reduced Decision Anxiety
Story-driven recommendations help reduce doubt - the single biggest barrier in high-value jewellery purchases.
Live Co-Creation
Real-time customization transforms passive browsing into active design engagement and stronger purchase commitment.
Observable and Improving
Langfuse observability ensures every interaction is measured and improved for quality, speed, and cost efficiency.
Reusable AI Architecture
The RingDNA and LangGraph pattern can be extended into other high-consideration D2C categories beyond jewellery.
06 - Frequently Asked Questions
Questions About the Angara AI Jewelry Chatbot
What problem was the Angara AI Ring Assistant designed to solve?
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The assistant bridges the gap between emotional customer intent and a technical jewellery catalogue. It helps customers describe feelings, stories, and preferences naturally using conversational AI, then maps them into actionable ring recommendations through the RingDNA engine.
How does the AI jewelry chatbot recommend ring designs?
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The AI begins with a customer's love story, extracts emotional and stylistic signals, builds a ring personality profile, presents a curated swipe-based catalogue, and explains why specific ring options match the customer's story - all in under 90 seconds.
What is RingDNA and how does it work?
+
RingDNA is Auriga IT's proprietary emotion-to-design mapping engine. It translates emotional language and lifestyle cues from conversation into precise ring attributes such as setting style (halo vs bezel), metal palette, head height, shank profile, and prong count - connecting what a customer feels with what the catalogue contains.
What technology stack powers the Angara AI Ring Assistant?
+
The solution uses OpenAI LLMs for emotional language understanding, LangGraph for multi-step stateful conversation orchestration, Langfuse for full interaction observability and cost control, and Python with FastAPI for production runtime and catalogue API management.
Can customers customize rings in real time through the chatbot?
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Yes. Customers ask for changes in natural language - switching to rose gold, increasing diamond size, or changing the band style - and the AI updates the design direction instantly, turning passive browsing into active co-creation of the perfect ring.
Can this conversational AI pattern work for other D2C categories?
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Yes. The RingDNA and LangGraph architecture is designed to be reusable. The same story-driven emotion-to-product mapping approach can be adapted for other high-consideration D2C categories where customers have emotional intent but struggle to translate it into product discovery.
Build AI That Understands Your Customers
Does your product require personalization that goes beyond filters and keywords? Auriga IT builds conversational AI, agentic systems, and LLM-powered experiences that turn customer intent into business outcomes.
