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LOGISTICS AI SOLUTIONS

TRANSFORMATIVE AI SOLUTIONS

Speed-up RFQs, enhance fleet management and optimise risks.

Start with our Logistic AI Agents today.

STATUS QUO

84% of logistics experts said AI will transform their organisation

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The adoption rate of generative AI has doubled in traditional businesses
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Plan to invest in AI-driven logistics solutions within the next 2 years
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Of business leaders reported positive ROI from AI investments

use cases

AI Tools for Logistics

INSTANT PRICE QUOTES
FLEET OPTIMIZATION
OPERATIONAL EFFICIENCIES
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Automated RFQ
Fetches real-time data and answers with human-like quotes right away.
Live Data Integration
Streamlines information for fleet and cargo availability for better tracking.
24/7 Sales & Support
Streamline support and boost sales with AI-driven virtual assistants.
INSTANT PRICE QUOTES
Automated RFQ
Fetches real-time data and answers with human-like quotes right away.
Live Data Integration
Streamlines information for fleet and cargo availability for better tracking.
24/7 Sales & Support
Streamline support and boost sales with AI-driven virtual assistants.
FLEET OPTIMIZATION
Smart Demand Management
Optimising and matching available capacity with fluctuating demand from clients.
Optimising Costs
Giving you real-time notifications and suggestions on expense management.
Integrated with Your Management Platform
Seamlessly connect your existing Fleet management software to our AI Agents via API.
OPERATIONAL EFFICIENCIES
Cost & Market Volatility
Better predict fuel prices, maintenance and other expenses for optimal budgeting and cost control.
Risk Management
Optimise insurance liabilities, theft and unexpected disruptions with AI-powered risk management.
Workforce Management
Make smarter, data-driven decisions powered by AI logic embedded in your operations.

Infer

Shaping the Future of Work

A new are or AI employees will emerge handling all mundane tasks to more complex strategical goals.
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async def talk_to_llm(self, stream: rtc.AudioStream): async for event in stream: alt = event.alternatives[0] msg = LLMMessage(role=LLMMessageRole.User, content=alt.text) llm_stream = self.llm.send_message(msg) ***stream tokens to client async def process_llm_tokens(self, stream: LLMStream):

capabilities

What we provide

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AI Pilots
We develop a proof of concept to confirm solution feasibility.
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End-to-End Product Development
From ideation to launch, we handle every step of product development.
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Maintenance and Support
Offering continuous maintenance and expert support for your products.

ROADMAP

Our procces

Concept
Gathering requirements and shaping the scope of the MVP, setting up KPIs.
Step 1
7 days
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Implementation
AI Training, testing, and deploying
Step 2
8-30 days
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Maintenance
Supporting the post-development activities. AI monitoring and improvements
Step 3
31 - 90 days
StepStep
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Implementation
AI Training, testing, and deploying
Step 2
8-30 days
StepStep

WORKS ACROSS THE BOARD

Seamless Integrations

Ensuring smooth connectivity with existing tools and platforms.