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Stay Ahead Of The Competition

Agentic Solutions for Modern Supply Chains

Smarter automation, better decisions, and fewer disruptions—without the complexity.

Data Points Processed

50B+

Optimization Algorithms Developed

55+

AI Models Deployed

70+

Predictive Models Developed

40+

About Us

Your Partner In Supply Chain Innovation

With deep expertise in data science and AI, our team collaborates with forward-thinking companies to build more efficient, resilient, and smarter supply chains. By combining state-of-the-art techniques with agile solutions, we deliver advanced services that evolve with your business, providing measurable results and tangible value fast.

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AI Lab

Our Services

Navigating Your AI Journey Together

We offer interconnected services that span your entire AI journey, reinforcing the strong foundation essential for success. Without these critical building blocks, many AI initiatives falter. Our holistic approach empowers you to navigate this complex, ever-evolving landscape with clarity, confidence, and impact.

Data Engineering

Building the Foundation: Streamlining Data Processing for AI-Ready Supply Chains

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Data Science

Unlocking Intelligence: Transforming Data into Predictive Insights for Supply Chain Optimization

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Agentic AI

Autonomus Intelligence: Driving Real-Time Decisions with AI Agents for Supply Chain Automation

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33+

Successful projects

12+

Partnerships

Years experience

95%

Retention rate

33+

Successful projects

12+

Partnerships

Years experience

95%

Retention rate

33+

Successful projects

12+

Partnerships

Years experience

95%

Retention rate

Our Results

Solutions Build for Impact, Not Hype

We don't just talk about AI we build products that solve your toughest challenges, delivering real results that make a measurable difference to your bottom line and give you an edge over your competition.

Worked with leading brands

Impact: Reduced stockouts by 18% and improved order fulfillment rates leading to a 12% increase in customer satisfaction
Predictive Stock Replenishment Model
Created a predictive model utilising historical sales data and machine learning to forecast inventory needs and automate replenishment orders.
Impact: Improved battery swap efficiency by 23% saving time and reducing costs.
Optimising Battery Swap Operations
Developed a route optimization algorithm using advanced analytics and real-time operational data to identify the most efficient routes for battery-swapping tasks.
Impact: Achieved full automation of the grading process reducing the need for manual evaluations.
Automated Parking Behavior Grading
Deployed a computer vision application to automatically grade customer parking behaviour using machine learning.
Impact: Improved traffic forecast quality by 19% and ETA accuracy by 46% enabling more reliable navigation and enhanced user experience.
Traffic Forecasting & ETA Optimization
Developed a graph transformer model for traffic forecasting and optimized ETA algorithms using real-time data.
Impact: Reduced primary algorithm computation time by 90% enabling faster decision-making and significantly enhancing overall operational performance.
Pathfinding And Optimization
Designed and implemented advanced pathfinding and optimization algorithms for submarine navigation to improve efficiency and responsiveness.
Impact: Increased post-battery swap revenue by 16% aiding in prioritising high-value vehicles and enhancing overall profitability.
Revenue Prediction Model
Created a revenue prediction model using machine learning to forecast post-battery swap revenue and optimise service priorities.
Impact: Reduced supplier-related disruptions by 14% helping to improve sourcing decisions and ensuring more stable procurement timelines.
Supplier Risk Assessment
Created a risk analysis framework combining historical supplier performance data with external risk factors to identify vulnerabilities in the supply chain.
Impact: Improved forecast accuracy by 17% leading to a 12% reduction in stockouts and a decrease in excess inventory.
Dynamic Demand Forecasting
Developed a machine learning-based demand forecasting system leveraging real-time market trends and seasonal patterns to predict inventory requirements.
Impact: Improved cross-departmental collaboration and reduced data retrieval time by 32% streamlining operational workflows.
Data Integration Platform
Designed and implemented a data integration platform to consolidate inventory data from various sources, ensuring seamless access and real-time updates across teams.

Impact: Reduced stockouts by 18% and improved order fulfillment rates leading to a 12% increase in customer satisfaction
Predictive Stock Replenishment Model
Created a predictive model utilising historical sales data and machine learning to forecast inventory needs and automate replenishment orders.
Impact: Improved battery swap efficiency by 23% saving time and reducing costs.
Optimising Battery Swap Operations
Developed a route optimization algorithm using advanced analytics and real-time operational data to identify the most efficient routes for battery-swapping tasks.
Impact: Achieved full automation of the grading process reducing the need for manual evaluations.
Automated Parking Behavior Grading
Deployed a computer vision application to automatically grade customer parking behaviour using machine learning.
Impact: Improved traffic forecast quality by 19% and ETA accuracy by 46% enabling more reliable navigation and enhanced user experience.
Traffic Forecasting & ETA Optimization
Developed a graph transformer model for traffic forecasting and optimized ETA algorithms using real-time data.
Impact: Reduced primary algorithm computation time by 90% enabling faster decision-making and significantly enhancing overall operational performance.
Pathfinding And Optimization
Designed and implemented advanced pathfinding and optimization algorithms for submarine navigation to improve efficiency and responsiveness.
Impact: Increased post-battery swap revenue by 16% aiding in prioritising high-value vehicles and enhancing overall profitability.
Revenue Prediction Model
Created a revenue prediction model using machine learning to forecast post-battery swap revenue and optimise service priorities.
Impact: Reduced supplier-related disruptions by 14% helping to improve sourcing decisions and ensuring more stable procurement timelines.
Supplier Risk Assessment
Created a risk analysis framework combining historical supplier performance data with external risk factors to identify vulnerabilities in the supply chain.
Impact: Improved forecast accuracy by 17% leading to a 12% reduction in stockouts and a decrease in excess inventory.
Dynamic Demand Forecasting
Developed a machine learning-based demand forecasting system leveraging real-time market trends and seasonal patterns to predict inventory requirements.
Impact: Improved cross-departmental collaboration and reduced data retrieval time by 32% streamlining operational workflows.
Data Integration Platform
Designed and implemented a data integration platform to consolidate inventory data from various sources, ensuring seamless access and real-time updates across teams.

Impact: Reduced stockouts by 18% and improved order fulfillment rates leading to a 12% increase in customer satisfaction
Predictive Stock Replenishment Model
Created a predictive model utilising historical sales data and machine learning to forecast inventory needs and automate replenishment orders.
Impact: Improved battery swap efficiency by 23% saving time and reducing costs.
Optimising Battery Swap Operations
Developed a route optimization algorithm using advanced analytics and real-time operational data to identify the most efficient routes for battery-swapping tasks.
Impact: Achieved full automation of the grading process reducing the need for manual evaluations.
Automated Parking Behavior Grading
Deployed a computer vision application to automatically grade customer parking behaviour using machine learning.
Impact: Improved traffic forecast quality by 19% and ETA accuracy by 46% enabling more reliable navigation and enhanced user experience.
Traffic Forecasting & ETA Optimization
Developed a graph transformer model for traffic forecasting and optimized ETA algorithms using real-time data.
Impact: Reduced primary algorithm computation time by 90% enabling faster decision-making and significantly enhancing overall operational performance.
Pathfinding And Optimization
Designed and implemented advanced pathfinding and optimization algorithms for submarine navigation to improve efficiency and responsiveness.
Impact: Increased post-battery swap revenue by 16% aiding in prioritising high-value vehicles and enhancing overall profitability.
Revenue Prediction Model
Created a revenue prediction model using machine learning to forecast post-battery swap revenue and optimise service priorities.
Impact: Reduced supplier-related disruptions by 14% helping to improve sourcing decisions and ensuring more stable procurement timelines.
Supplier Risk Assessment
Created a risk analysis framework combining historical supplier performance data with external risk factors to identify vulnerabilities in the supply chain.
Impact: Improved forecast accuracy by 17% leading to a 12% reduction in stockouts and a decrease in excess inventory.
Dynamic Demand Forecasting
Developed a machine learning-based demand forecasting system leveraging real-time market trends and seasonal patterns to predict inventory requirements.
Impact: Improved cross-departmental collaboration and reduced data retrieval time by 32% streamlining operational workflows.
Data Integration Platform
Designed and implemented a data integration platform to consolidate inventory data from various sources, ensuring seamless access and real-time updates across teams.

Our Process

Guiding You Every Step of the Way

Whether you're just beginning your AI journey or already on the path, we’re here to guide you every step of the way. Our process ensures that your data and AI work seamlessly together to drive results, while maintaining the highest standards of safety and reliability.

01.

Introduction

Exploratory call to discuss your unique business needs and aspirations. This is a high-level conversation aimed at understanding your goals, current challenges, and how we can support your vision.

02.

Assess

In-depth assessment of your current data, automation, and AI practices. This phase dives deeper to identify specific opportunities for AI, uncover potential challenges, and create a tailored roadmap to guide the way forward.

03.

Validate

In every project we like to get to a meaningful outcome, fast. We deliver a proof of concept, typically addressing one key metric – to show that the technology and approach is worth investing your time in.

04.

Scale

We scale the validated solution into full production, integrating it seamlessly into your operations. This phase includes thorough testing, user training, and system adjustments to ensure optimal performance and smooth adoption.

05.

Operate

The AI landscape evolves rapidly, and so do we. We provide ongoing support and optimization to adapt strategies to evolving market conditions and emerging technologies, ensuring your supply chain remains at the cutting edge of efficiency and innovation.

Why Us?

Building The Future Today

Supply chains are one of the most exciting industries to us because they are on the brink of radical transformation. Driven by emerging technologies and changing global demands, supply chains will soon become almost unrecognizable by today’s standards. Our clients benefit from our cutting-edge R&D, proven solutions, and deep technical expertise. We take on the complexity and risk so you don’t have to, helping you achieve measurable results faster and ensuring you stay ahead of the curve.

Pioneering Technology

Our services are built on the latest advancements in data science and AI, ensuring that your business benefits from cutting-edge innovation. We stay ahead of the curve so that you can stay ahead of the competition.

Custom Solutions

We understand that no two businesses are alike. That’s why we take the time to understand your unique challenges and create tailored solutions that align with your goals, ensuring optimal performance and delivering measurable results.

Niche Focus

By leveraging our existing frameworks, we avoid reinventing the wheel for each client, enabling us to deliver more advanced solutions and deeper integrations faster.

Innovation Partner

We guide you through your complete AI journey and beyond, because innovation isn’t a destination it’s an ongoing, ever-evolving journey.

Image of integrating supply chain systems

Seamless Integration

Seamless ease of integration with existing systems enables you to enhance your operations without disrupting daily workflows.

Testimonials

People We've Worked With

Gain insights in how we collaborate to tackle complex challenges and drive innovation.

Still Undecided?

Foundational Models Are Setting New Standards

AI is no longer a luxury—it's becoming the backbone of supply chain success. Foundational models are setting new standards for efficiency, agility, and resilience. Companies that overlook these advancements risk falling behind. Start with our free assessment to discover how AI can elevate your supply chain to new heights.