An ad agency owner wanted to see the detailed insights of the campaigns they run, so they needed a tool that could provide them with campaign analytics.
AI in Supply Chain Management
Top Supply Chain AI Solutions
Our Supply Chain AI Solutions
You'll get alerts for low stock and items near expiry. This works best when we connect to your ERP or WMS while the supply chain artificial intelligence handles the monitoring continuously.
The system keeps communication records with logistics providers. It also offers dashboards for operations teams to monitor delays while supply chain automation handles routine updates.
The system generates purchase orders based on your inventory and tracks order status. Machine learning in supply chain management improves quote analysis over time.
Using machine learning in supply chain management, these platforms identify patterns in supplier behaviour. Supply chain artificial intelligence predicts potential disruptions before they impact operations.
Industries We Serve
Our Process to Build AI in Supply
Chain Management

Kick-off
We start providing AI in supply chain management services by understanding your challenge, your users, and how success will be measured.

Map
Together, we outline how the system should work and pick the right AI models for the job.

Design
We plan how everything connects, including data flow, integrations, and user access.

Build
We refine the AI in supply chain management with prompts, knowledge, or custom data to make it perform well for your use case.

Safety
We add safeguards so the system is reliable, secure, and aligned with regulations.

Test & launch
We test thoroughly, release to a small group first, gather feedback, and then roll it out smoothly.
Supply Chain Artificial Intelligence - Why ARCQ?
How ARCQ AI Customer
Onboarding Process Works

Discovery
Understand your challenges and use cases.

Scope
Define project scope, timeline, and outcomes.

Validate
Test feasibility with a small pilot (MVP).

Validate
Test feasibility with a small pilot (MVP).

Development
Build and tailor the full solution.

Development
Build and tailor the full solution.

Deploy & Test
Launch, monitor, and refine.

Scale
Expand capabilities and adapt as needs change.
ARCQ’s Tech Stack to Provide AI
Supply Chain Software
SMBs Trust our Custom AI
Development Services
Case Studies
Timur Restaurant contacted us to automate responses to common inquiries. The restaurant owner repeatedly answered the same questions, and missed chats resulted in lost covers. This created inefficiencies and negatively impacted customer service during busy times.
Account managers at Foxergo were burning hours writing post-campaign and weekly reports. The work was dull and often resulted in hours of manual work.
Our system uses several cameras to turn people and their surroundings into accurate 3D models, making complicated scenes easier to work with. We believe in keeping advanced technology accessible for everyone.
Our mask detection system uses facial recognition and computer vision to spot missing face masks and sends alerts when needed. The system works for businesses and different public sectors.
We combined a Python script and AI tools to automate ad design, script writing, and video editing. This change cut manual work by 50%, 2x video editing speed, and allowed the agency to take on more clients without growing their team.
Got an idea for your product?
AI in Supply Chain Management -
FAQs
It depends on your setup. We build supply chain automation tools for stock reordering, performance monitoring, shipment tracking, and demand forecasts. AI in supply chain management focuses on repetitive work that takes time to save you costs.
Yes, most systems we build connect with existing ERP software and logistics systems. Our supply chain automation approach works alongside your current systems rather than replacing them.
Supply chain artificial intelligence systems learn from your past orders and seasonality. AI in supply chain management flags demand swings, recommends target stock levels, monitors performance and spots risks. That means fewer stockouts and less cash tied up.
The primary advantage is having complete visibility of your orders from suppliers to customers using AI in supply chain management. You can spot delays early, communicate proactively with customers, automate processes and make alternative arrangements when problems occur.
We provide documentation and technical support to help your team use and maintain the new systems. The support level can be adjusted based on your team’s requirements.
As per IBM, “organisations that adopt a holistic big-picture view for AI and content report an ROI 22% higher for CSC development and 30% for genAI integration.”
We build all supply chain AI solutions with core security standards. Your information will remain protected.
Implementation timelines depend on complexity and data readiness. Simple systems can show results in 2-6 weeks, while comprehensive platforms typically require 3-6 months for full deployment.