Ajnas - Automating Daily B2B Commodities Supply

Logistics / AI / B2B Marketplace
Timeline
16 weeks
Team Size
4 engineers

Replace manual order-taking, packing, and routing with an automated, scalable system for perishable goods delivery.

Ajnas - Automating Daily B2B Commodities Supply

Key Results Achieved

$90K
Investment
16 weeks
Build Timeline
90%
Effort Reduction

The Challenge

Replace manual order-taking, packing, and routing with an automated, scalable system for perishable goods delivery.

Business Challenges

  • Replace manual order-taking with an automated solution
  • Standardize invoice generation across hundreds of orders
  • Optimize morning packing and route planning for drivers
  • Scale operations without increasing administrative workload
  • Enable rapid onboarding of new vendors and locations

Technical Challenges

  • Build a conversational voice interface to collect orders
  • Automatically log orders into a centralized CRM
  • Generate invoices instantly and attach to orders
  • Assign driver routes based on real-time geolocation and volume
  • Develop a field app to capture new vendor details and coordinates

Our Solution

We developed a modular, scalable AI-powered voice platform integrated with CRM, automated invoicing, and route optimization logic—resulting in over 90% automation of operations and significant improvements in delivery speed and accuracy.

Core Features

  • AI voice calling system that collects item names, quantities, and prices
  • Real-time CRM updates based on call transcriptions
  • Automated invoice generation with historical tracking
  • Warehouse dashboard for packing orders and managing schedules
  • Route optimization engine to assign delivery stops to drivers
  • Mobile onboarding tool for field agents to register vendors with geolocation

Technologies & Implementation

Technologies & Platforms

Node.jsPostgreSQLTwilio Voice APIGoogle Maps API

Knowledge Stack

FirebaseReactAWSPuppeteer

Technical Architecture

  • Node.js backend with PostgreSQL database
  • Voice AI powered by Twilio + custom NLP
  • Google Maps API for route planning
  • PDF generation with Puppeteer
  • React-based mobile web app for agents
  • Firebase for notifications and status updates

AI Components

  • Voice-to-text transcription with structured data extraction
  • Intent detection for quantities, pricing, and product types
  • CRM-integrated automation from voice to invoice
  • Real-time route optimization engine

Implementation Timeline

1

Week 1

Discovery, workshops, process mapping

2

Week 2

CRM schema design and architecture setup

3

Week 3

Voice AI integration with Twilio + NLP testing

4

Week 4

Build invoice generator module

5

Week 5

Develop warehouse dashboard for packing

6

Week 6

Route optimization and delivery planner

7

Week 7

Mobile onboarding app with geotagging

8

Week 8

Final QA, training simulations, and deployment

Results & Impact

Immediate Results

  • 90% reduction in manual order collection effort
  • 100% of orders processed automatically by 7 AM daily
  • 25% reduction in delivery time per route

Long-term Impact

  • Expanded from 3 to 10 delivery zones
  • Sustainable scalable operations model established
  • Zero manual overhead for onboarding new vendors

The voice AI platform revolutionized our operations. What used to take hours every morning now happens automatically. We can now focus on growth instead of operational bottlenecks.

Omar Hassan
Founder, Ajnas

Key Lessons Learned

Voice AI can dramatically reduce manual operational overhead

Route optimization is critical for perishable goods logistics

Automation enables scalability that manual processes cannot achieve

Integration of multiple systems creates exponential efficiency gains

Ready to Create Similar Results?

Let's discuss how we can help transform your business with AI and automation.

Ajnas - Automating Daily B2B Commodities Supply | Proglia Case Studies