Supply Chain and

Logistics Management Platform

Built by:

Rohan Jain

Yash Vardhan Choudhary

2. Core Features

3. Additional Features

OVERVIEW

6. Conclusion

4. Scalability and Security

1. Introduction

5. Business Plans

End-Customers /Users

Wholesalers

Warehouse

Introduction

Supplier

Retailors

Distributors/

Manufacturer

1

2

7

Blockchain Provenance

Traffic Whisperer

6

Demand Forecasting

Freight Quotes

Risk Dashboard

Additional Features

4

Team Collaboration

5

Compliance Checker

3

Update Dashboard

2

1

+ Notify Warehouse

5

Confirm via Voice

Omnidimension bot

Streamlines truck movement and dock assignments at warehouses

Dock Dispatcher

/ User Input

[Request Dock Slot]

[Check Google Calendar & Sheets]

4

Assign Dock Number

AI agent (n8n)

+ Time Slot

3

Voice/Chat

Update Inventory

Helps warehouse workers pick items faster and accurately

Omnidimension bot

/ User Input

4

5

Generate Shortest

3

[Ask Inventory Location/Stock]

[Query Google Sheets/Firestore]

Inventory Spotter

Pick Path

2

AI agent (n8n)

Return Info via

1

when Picked

1

3

Return Sorted Route List

4

+ Update Dashboard

Fetch Route Options

5

& User Selects

Omnidimension bot

AI agent (n8n)

[Source, Destination, Priority]

2

/ User Input

[Query OpenRouteService + Google Maps]

[Calculate Cost/ETA/Emissions]

Route Optimiser

Finding the most efficient and cost-effective delivery path

Confirm and Send to Driver

1

Omnidimension bot

Return Summary

Demand Forecasting

Run Forecasting Model

2

AI agent (n8n)

PDF Report

Generate Graphs &

via voice/chat assistant

/ User or Scheduler Trigger

[Fetch Sales History (Google Sheets)]

5

[Update Forecast]

Predict future customer demand using past data and trends

3

4

Return Voice/Chat

ETA & Traffic Alerts

Get Optimal Path with

Response

4

Predict future customer demand using past data and trends

AI agent (n8n)

/ User Input

Omnidimension bot

2

Update Route in

[Option to Reroute]

[Driver Location Input]

Traffic Whisperer

1

[Google Maps API (Live Traffic)]

3

Dashboard

5

[Validation APIs and algorithms]

4

Logs/Dashboard

If Docs Missing

→ Request Upload

[User (Driver/Supplier/Admin) asks Compliance Status]

/ User Input

Compliance Checker

Omnidimension bot

[Check Google Sheets/Documents]

5

Predict future customer demand using past data and trends

Return Status

AI agent (n8n)

2

3

1

Notify & Update

2

[Call Freight APIs and algorithms]

5

AI agent (n8n)

Update Calendar +

4

Freight Quotes

Omnidimension bot

[(Weight, Source, Destination, Mode)]

Predict future customer demand using past data and trends

/ User Input

Compare Quotes

3

→ User Selects One]

[Return Sorted Quote List →

1

Sheets + Dashboard

Confirm Booking

5

Omnidimension bot

Analyze Risk Levels

AI agent (n8n)

[Assign Color Codes/Score]

4

[Call External APIs (Weather, Port, Supplier) and other algorithms]

Risk Dashboard

Chat/Slack

1

Dashboard Widgets

Update Risk

/ User or Scheduler Trigger

2

Alert Users via

Predict future customer demand using past data and trends

3

Task/Command Detected

Calendar

Omnidimension bot

Predict future customer demand using past data and trends

via bot / Slack

Notify via Slack/Email

[n8n → Create Task Entry]

2

4

Allow Team Response

/ User Input

1

[Log in Google Sheet/Firestore]

5

Add Event to Google

Team Collaboration

3

Algorithms Involved

Backend- Node.js, Python

Database- MySQL(local)

Technology Overview

Frontend - Typescript, Javascript

AI agent- Omnidim SDK, n8n agents

Authentication- Firebase

Blockchain- hardhat, wagmi, Solana testchain

User Flow Diagram

Scalability and Security

Scalability Strategies

•

Security Measures

• Every compliance check, route dispatch,

dock booking, etc., logged immutably

(Solana IPFS).

​

• Blockchain

Business Plan Overview

Target Market

​

Primary Market:

• SME Warehouses & Fulfillment Centers (India, SEA)
• 3PL Providers scaling tech post-Series A

​

​

Secondary Market:

• Large D2C Brands (e.g., Meesho, Mamaearth) handling >100 orders/day
• Retail Chains with regional warehouses (e.g., Reliance Retail, BigBasket)

Product Differentiation

​

Built with real AI pathfinding, not rulesets

​

​

​

Designed by logistics+tech experts with real warehouse experience

Modular, API-first platform

​

Positioning and Branding

​

OptiLogiX is positioned as the AI-driven nerve center of logistics operations—a modular platform integrating dock dispatch, route optimization

Brand Pillars:

• Simplicity: Minimal learning curve for warehouse workers.
• Speed: Fast integrations and real-time route generation.
• Connected: API-ready, compatible with major WMS/ERP.

Positioned as the plug-and-play AI assistant for warehouse picking — seamlessly integrating into any warehouse operation to cut pick time, boost visibility, and enhance operational speed.

Go-To-Market Strategy

​

Competitive Landscape

​

Dock & Warehouse Scheduling

• Project44
• FourKites
• BlueYonder

​

Inventory Optimization & Routing

• Zebra Technologies
• Locus.sh
• Fetch Robotics

Demand Forecasting

• Lokad
• ToolsGroup
• o9 Solutions

Freight Quotation & Logistics Platforms

• Flexport
• Freightos
• Shiprocket X

Revenue Model

​

Distribution Strategy

​

Technology and Innovation

​

AI/ML Algorithms:

• A* Pathfinding for warehouse maps
• XGBoost for demand prediction (Phase 2)
• Rule-Based Compliance Engine for packaging

Innovations:

• Real-time pick route generation
• Manual + API input flexibility
• Real-time alerts + pick time KPI tracking

Future AI Additions:

• Vision-based product scan (CV + OCR)
• Forecast-based dynamic zone allocation

Scaling , Growth Strategy and Risks and Challenges

​

Thank You