RGRiya Gulhare

AI Workflows & Prototypes

Automation is valuable when the next decision gets clearer.

Practical systems designed around traceability, human review and measurable operational outcomes, not AI for its own sake.

AI-Driven D2C Returns Intelligence & Prediction

n8nLLMData storePredictive scoringHuman review
Ecommerce return parcels surrounding a risk analysis dashboard

Commerce events:Orders, customer history, product attributes and return events enter the workflow.

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AI-Driven Customer Feedback Intelligence & Automation

NLPSentimentClassificationRoutingInsights
Customer feedback routing workflow displayed on a laptop

Feedback intake:Reviews, tickets, surveys and app-store feedback enter a unified stream.

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Smart Email Assistant

n8nGmailLLMPriority triageNotion
Smart email assistant workflow connecting Gmail, AI triage and Notion

Daily intake:A scheduled trigger retrieves recent Gmail messages and prepares the sender, subject, timestamp and content.

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Turning Sprint Chaos into Clear, Role-Based Updates

n8nSprint reportingGeminiRole-based routingStakeholder communication
Role-based sprint update workflow branching into stakeholder communication channels

Sprint intake:Structured issue data is collected from a shared delivery source, including progress, priority, ownership and blockers.

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Operating principles

Confidence-aware. Auditable. Human at the decision point.

Each workflow preserves source evidence, exposes uncertainty and measures both model quality and the operational outcome it is meant to improve.