INVENTRA AI GENE 2024 - 2025
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GenAI-2024-2025-B2-00X GenAI-2024-2025-B2
Inventra AI Gene GenAI-2024-2025-B2-00X Team Information
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GenAI-2024-2025-B2
Inventra AI Gene GenAI-2024-2025-B2-00X Project Overview
Requirement / Problem statement
Traditional inventory systems often struggle with dynamic forecasting, stock-outs, and delayed manual replenishment—especially in
seasonal or fast-moving markets.
Description
INVENTRA AI GENE delivers a cloud-native, AI-powered solution that monitors inventory in real time, predicts demand, detects trends, and
automates replenishment for smarter supply chain decisions.
Scope GenAI | AI
Implement cloud-native architecture enabling scalable, device-agnostic deployment and
Real-time anomaly detection and trend
seamless integration with ERP, POS, and supply systems .Use generative AI to analyze internal
alerts powered by machine learning
and external data like historical sales, seasonality, weather to generate predictive and
prevent stock-outs and inefficiencies.
prescriptive inventory strategies .
Key factors & features Target Audience Domain
Real-Time Tracking & Alerts: Monitor stock levels, Communities &End-Customers: ensured Retail & E-commerce , Fast-
expiry, movements; notify when critical thresholds product availability, decreased disruption, Moving Products ,Logistics &
reached . and enhanced satisfaction. Distribution.
GenAI-2024-2025-B2
Inventra AI Gene GenAI-2024-2025-B2-00X Project Features
Project Features / Journeys
1.Real-Time Inventory Visibility
Feature: Track inventory across locations with barcode, RFID, QR scanning, or sensor integration. Receive instant alerts on low
stock, overstock, expiry, or misplaced items.
Journey: User logs in → views dashboard → system flags critical alerts → triggers restock or relocation workflows automatically.
Benefit: Improves accuracy, reduces manual checks, and prevents unnoticed stockouts or aging stock.
2. AI-Powered Demand Forecasting
Feature: Machine learning analyzes historical sales, seasonality, regional trends, and external data (e.g., weather, promotions).
Enables granular forecasting by SKU and location.
Journey: The system learns patterns → generates demand forecasts → provides confidence intervals and rationale → user reviews
forecast adjustments.
Benefit: Reduces over- or under-ordering, improves fill rates, and aligns inventory with actual demand.
3. Automated Replenishment
Feature: AI agents create reorder recommendations, optimize allocation across warehouses or stores, and adjust based on lead
time, supplier availability, and cost.
Journey: When predicted stockout is detected, system auto-prepares procurement orders or internal transfer requests → user
approves or accepts recommendations.
Benefit: Saves manual ordering effort, speeds replenishment, and ensures the right product ends up in the right place.
GenAI-2024-2025-B2
Inventra AI Gene GenAI-2024-2025-B2-00X Project Features
Project Features / Journeys
4. Anomaly Alerts
Feature: AI flags unusual patterns—sudden demand spikes or drops—using real-time signals like local trends, promotions, or
macroeconomic shifts.
Journey: AI identifies outliers → issues alerts or suggestions (“promotion effect”, “slow mover”) → user investigates and takes
corrective action.
Benefit: Helps teams respond quickly to risks or opportunities, reducing missed sales or excess inventory.
5. Natural Language Interface
Feature: Enable users to query the system via chat (e.g. “stock forecast for red shirts next week?”) and receive narrative
explanations or next-step suggestions.
Journey: User types or speaks a question → AI fetches relevant data → provides forecasts, alerts, or recommended actions in
conversational form.
Benefit: Non-technical stakeholders access insights easily; speeds decision-making and improves user engagement.
6. Cloud-Native & Scalable Infrastructure
Feature: Fully cloud-based platform with mobile/web access, offline-first support, real-time sync, and API integrations with ERP,
POS, or supplier systems.
Journey: Users across stores, warehouses, or on mobile can access same live data; system syncs automatically when online.
Benefit: Provides flexibility, easy integration, and supports growth without heavy infrastructure.
GenAI-2024-2025-B2
Inventra AI gene GenAI-2024-2025-B2-00X Technology Stack
Presentation Layer Application Layer
1.Front-End Frameworks
React.js, Angular, or Vue.js for modular, component- 1.Messaging & Event Infrastructure
based development and rich UI experiences. UI kits like Event-driven messaging using AWS SNS/SQS, Event
Bootstrap, Tailwind CSS, or Material UI for design Bridge, RabbitMQ, or Apache Kafka for asynchronous
consistency and rapid prototyping workflows (stock updates, alerts, order status changes.
2. State Management & Data Flow 2.Microservices
Libraries such as Redux , or Context API to efficiently Microservices architecture, isolated services (e.g.
manage UI state in complex dashboards. inventory-service, order-service) for scalability and
domain separation.
3.Data Visualization Libraries
Tools like Chart.js, Recharts, or D3.js for rendering 3.Schema & Data Validation
demand forecasts, trend charts, and anomaly insights Validation libraries such as Zod, Joi, or JSON Schema in
visually. the middleware layer to enforce tenant-aware rules,
request integrity, and payload validation
4.Mobile & Scanning Integration
Optional frameworks like React Native or Ionic to support 4.API Gateways & Protocols
mobile-native and barcode/QR scanning interfaces. REST APIs for synchronous CRUD operations and
service-to-service communication.
Note: Artefacts locations are provided as clickable hyperlink available as “Link” GenAI-2024-2025-B2
Inventra AI gene GenAI-2024-2025-B2-00X Technology Stack
Data Layer Source Code
1.Operational & Relational Databases
Provide methodologies used in the project
PostgreSQL, MySQL or cloud-native variants like Amazon
Aurora ideal for transactional inventory, order, and supplier
data storage. Ensures strong consistency and ACID Methodology
compliance.
1.Agile (Scrum / Kanban / Feature-Driven)
Agile forms the foundational process mindset: iterative, flexible,
2.Embedding
value-focused delivery, ideal for evolving requirements in AI
Embed transformer-based contexts using OpenAI, Cohere,
projects.
or Watsonx.ai, storing embeddings in vector databases.
2.Adaptive Software Development (ASD)
3.Vector Databases
In fast-changing environments, ASD supports a cycles-of-
Chroma enable fast embedding-based retrieval for
speculate–collaborate–learn approach; suitable for innovative,
Generative AI use cases (RAG, chat forecasting). Support
uncertain domains like AI-enhanced inventory systems.
similarity search and semantic retrieval at scale.
3.Feature-Driven Development (FDD)
4.NoSQL & Distributed Databases
FDD revolves around identifying domain features upfront and
MongoDB Atlas, Cassandra, or Yuga ByteDB offer flexible
delivering working, client-valued functionality in short cycles.
schema and horizontal scalability. Well-suited for handling
Good for structured delivery around prioritized features like
semi-structured data and high-volume operations.
forecasting, alerts, dashboards.
Note: Artefacts locations are provided as clickable hyperlink available as “Link” GenAI-2024-2025-B2
Inventra AI gene GenAI-2024-2025-B2-00X Technology Stack
Products, Software Tools and Utilities Infrastructure
1.QuickBooks Commerce 1.Cloud Infrastructure & Provisioning
Tool designed for e-commerce, offering demand AWS, Google Cloud Platform, Microsoft Azure, or Oracle OCI –
forecasting, order automation, and seamless integrations chosen for robust AI/ML integration, scalability, and global
with Shopify and accounting availability.
2. Inventory AI 2.Infrastructure as Code (IAC):
Next-gen AI tools offering auto reorder, demand sensing, Tools like Terraform, AWS CloudFormation, or AWS CDK allow
and predictive analytics for optimized stock planning. declarative, version-controlled infrastructure deployment across
environments.
3.Zoho Inventory
AI-integrated solution for barcode/RFID tracking, multi- 3.Messaging, Eventing & Integrations
channel order management, and vendor integrations ideal Use of event-driven messaging via AWS SNS/SQS, Event Bridge,
for SMBs and e-commerce. RabbitMQ, or Apache Kafka to enable decoupled workflows (e.g.
inventory update events).
4. NetSuite (Inventory Module)
Part of the Oracle ERP Suite, includes AI-enhanced 4.CI/CD & DevOps Automation
forecasting, real-time tracking, and full ERP/inventory CI/CD pipelines using GitHub Actions, GitLab CI, ArgoCD,
synchronization for mid to large enterprises. Jenkins, or Drone for automated builds, testing, and
deployment.
Note: Artefacts locations are provided as clickable hyperlink available as “Link” GenAI-2024-2025-B2
Inventra AI gene GenAI-2024-2025-B2-00X Technology Stack
API
1.Interface Types:
Implement both RESTful APIs (for CRUD and easy
integration) and optionally Graph QL for flexible querying
across complex datasets. Use Webhooks or
WebSockets/SSE for real-time notifications.
2.Microservice Pattern:
Separate domain services (e.g. inventory, orders, alerts,
reporting), enabling scalable, maintainable, and
independently deployable APIs.
3.Event-Driven Flow:
Use message brokers such as Kafka or RabbitMQ to
process real-time updates, ensuring responsiveness and
fault tolerance. Apply idempotency and event sourcing for
replay ability and audits.
Note: Artefacts locations are provided as clickable hyperlink available as “Link” GenAI-2024-2025-B2
Inventra AI gene GenAI-2024-2025-B2-00X Wireframe | UI
Wireframe | UI
Sample Wireframes by Use Case
1.Dashboard / Home View
Overview Cards showing total SKUs, critical low stock items, pending transfers/orders.
Trend Charts for consumption rate and forecasted demand across locations.
Quick Action Buttons to create purchase requests or view audit logs. This follows typical Figma dashboard wireframe patterns2. 2
2.Inventory Listing & Reorder Workflow
• Table listing SKUs, current stock, threshold levels, and reorder status.
• Inline indicators (e.g. red highlight for low stock), bulk selection for action.
• Modal overlay to initiate reorder or transfer requests. Inspired by Visily’s Inventory Management kit.
Navigational Prototype Flow
Dashboard → Inventory → Item Detail → Reorder Modal → Confirmation Screen
Dashboard → Chat Query Panel → Forecast Response
Trend Chart → Scenario Simulation Mode
GenAI-2024-2025-B2
Inventra AI gene GenAI-2024-2025-B2-00X Application Screenshots
Application Screenshots
Provide journey / stories / use case wise screenshots of your application, live demo is available as Video as part of the project artefacts
GenAI-2024-2025-B2
Inventra AI Gene GenAI-2024-2025-B2-00X Project / Product Roadmap
Project / Product Roadmap | Milestones | Features
Short Term Mid Term Long Term
• Provide list of features • Provide list of features • Provide list of features
GenAI-2024-2025-B2
Inventra AI Gene GenAI-2024-2025-B2-00X Artefacts
Project Portal Wireframe | UI
Project Portal / website is available at Link Project wireframe / UI designs are available at Link
Presentation Application
Project presentation (this document) is available at Link Application is available at Link
Requirement Document / Specification DT Playbook
Project requirement document / specification is available at Link Project DT Playbook is available at Link
Technical Document / Specification Overview Video
Project technical document / specification are available at Link Project overview video is available at Link
Video provides project overview, presentations, journey wise
Source Code Wireframe, UI, application demo as required and as applicable.
Project code repository is available at Link
Note: All links are provided as clickable hyperlink available as “Link”
GenAI-2024-2025-B2
Project Name GenAI-2024-2025-B2-00X Thanks
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GenAI-2024-2025-B2
