▶Introduction

A fleet operator needed better visibility into driver safety and risky behaviors. Traditional telematics provided data but lacked intelligent analysis to predict and prevent incidents. Insurance costs were rising due to accidents.

Sitara developed an AI-powered safety monitoring platform that analyzes telematics data, video feeds, and driver patterns. The system uses machine learning to identify risky behaviors, provides real-time alerts, and generates safety reports for fleet managers.

Key Features

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  AI Behavior Analysis: Real-time analysis of acceleration, braking, and cornering, Pattern recognition for risky driving behaviors
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  Video Analytics: Integration with dashcam feeds, Automated incident detection and flagging
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  Safety Alerts & Notifications: Real-time alerts for dangerous behaviors, Automated notifications to drivers and managers
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  Reporting & Insights: Comprehensive safety reports, Trend analysis and benchmarking

▶Introduction

A growing business automation team struggled with scattered tools for integrations, approvals, notifications, and data sync. Workflows were built manually across multiple apps, causing duplicate work, missed triggers, limited visibility, and inconsistent execution.

Sitara developed NovaAI, a centralized AI automation platform that lets teams design, run, and monitor workflows (similar to Zapier/n8n style) with built-in AI steps, connectors, and event-driven triggers. NovaAI provides real-time execution logs, reliable scheduling, and a scalable multi-tenant architecture—so businesses can automate operations without stitching together multiple systems.

Key Features

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  Workflow Builder & Nodes: Drag-and-drop style flow design with triggers, actions, conditions, delays, and reusable templates
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  Triggers & Webhooks: Event-based automation (app events, schedules, incoming webhooks) with secure signature validation
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  Connectors & Auth: Pluggable integrations (OAuth/API key) with connection management and encrypted credential storage
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  AI Steps & Decisions: AI-powered text generation, classification, extraction, routing, and summarization inside workflows

▶Introduction

Managing long-term health conditions requires consistent medication adherence, regular monitoring of vitals, and easy access to medical records. Many patients rely on manual logs, reminders, or fragmented apps—leading to missed doses, incomplete health data, and poor continuity of care.

Sitara developed Digital Nurse, a comprehensive health and medication tracking platform designed for patients, caregivers, and families. The system enables users to record vitals, manage medications, store medical documents, and follow personalized diet plans—helping improve compliance, visibility, and overall health outcomes.

Key Features

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  Medication Management & Reminders: Schedule medicines, dosage tracking, refill alerts, and adherence history
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  Vital Signs Monitoring: Track blood pressure, blood glucose, heart rate, temperature, weight, and oxygen levels
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  Health Overview Dashboard: Daily, weekly, and monthly insights into vitals trends and medication compliance
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  Medical Records & Document Vault: Secure storage for prescriptions, lab reports, imaging, and discharge summaries

▶Introduction

Textile manufacturers often struggle with fragmented tracking across raw materials, production stages, and finished goods. Manual planning, disconnected purchase orders, and limited visibility into shortfalls lead to delays, excess inventory, and missed delivery commitments.

Sitara developed Elaf Textile Management System, a centralized platform that manages the complete textile lifecycle—from raw material procurement to finished goods delivery. The system enables collection planning, shortfall analysis, PO tracking, and production monitoring, giving management real-time visibility and control across operations.

Key Features

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  Raw Material Management: Track yarn, fabric, trims, dyes, and accessories with batch-level visibility
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  Collection & Production Planning: Plan seasonal collections, styles, quantities, and timelines aligned with capacity
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  Shortfall & Variance Management: Identify material shortages, production gaps, and wastage against planned quantities
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  Purchase Order (PO) Tracking: End-to-end PO lifecycle from issuance to receipt, including partial deliveries

▶Introduction

The client managed a high-volume biomass supply chain using paper slips, spreadsheets, and manual reconciliations. Field teams had no reliable offline tool, and head office had limited visibility into cash movements, dispatches, and penalty calculations. Daily reconciliation took hours and was error-prone.

Sitara designed and delivered a Flutter-based mobile app with a Node.js API backend and reporting console. The system supports offline capture of dispatch data, wallet transactions, and penalties, automatically syncing to the cloud when connectivity is available. Role-based access ensures appropriate permissions for field staff, supervisors, and finance teams.

Key Features

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  Dispatch Management: Create, update, and track dispatches from field to depot, Configurable penalty rules by business team
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  Wallet & Cashbook: Per-employee wallets with tracked advances and settlements, Cashbook view for finance to reconcile daily movements
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  Offline-First Operations: All core workflows work fully offline, Automatic sync and conflict resolution when back online
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  Vehicle & Vendor Management: Complete vehicle registry with driver information, Vendor management with payment tracking

▶Introduction

A logistics company needed real-time visibility into their fleet operations, driver locations, and route efficiency. They lacked tools to monitor driver behavior, optimize routes, and ensure compliance with delivery schedules.

Sitara built a comprehensive fleet management platform with mobile apps for drivers, a web dashboard for operations, and real-time tracking infrastructure. The system integrates GPS data, calculates optimal routes, and provides actionable insights for fleet managers.

Key Features

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  Real-Time Tracking: Live GPS tracking of all vehicles on a map, Historical route playback
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  Driver Management: Driver profiles with performance metrics, Behavior scoring based on speed, braking, and acceleration
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  Analytics & Reporting: Fleet utilization reports, Fuel consumption analysis

▶Introduction

Traditional AI calling systems rely on static scripts and limited context, resulting in generic responses and poor user experience. In appointment scheduling and property booking, accurate responses require access to live availability, policies, pricing rules, and historical interactions.

Sitara developed a RAG-based AI Calling Bot, purpose-built for clinic appointments and property bookings. The platform uses a vector database to retrieve contextual knowledge in real time, enabling natural, accurate conversations while continuously improving through interaction analysis and training data.

Key Features

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  RAG-Powered Intelligence: Retrieval-Augmented Generation using a vector database for context-aware responses
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  Vector Knowledge Store: Embeds clinic policies, doctor schedules, property listings, pricing, FAQs, and call history
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  Appointment & Booking Automation: Book, reschedule, cancel, and confirm clinic appointments and property viewings
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  Continuous Learning & Training: Analyze call transcripts and outcomes to improve intent detection and response quality