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 Logistics
Top Logistics Software Solutions
Our Logistics Software
Solutions
Industries We Serve
Our Process to Build AI in
Logistics

Kick-off
We start 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 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.
Why Trust ARCQ as a Logistics Software Development
Company?
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
Software for Logistics
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 Logistics - FAQs
Integrating AI in logistics can automate your route planning and inventory management reporting. The software for logistics can allow you to enhance administrative tasks, driver scheduling, package tracking and repetitive tasks.
Yes, our software for logistics is built based on your business requirements, so most of the solutions easily connect with existing systems.
Most of the warehouse automation systems use AI to minimise human intervention. You can automate inventory management, packing, sorting and shipping. Additionally, the storage allocation feature can help you use the maximum space.
McKinsey’s survey stated that “early adopters of AI have 15% lower logistics costs and 35% improved inventory levels.” The main advantage is having complete visibility of your deliveries from pickup to final destination.
You can identify delays early and make alternative arrangements when problems occur. Since major disruptions often start deep in the supply chain, early visibility helps prevent small issues from becoming major problems.
We provide documentation and technical support to help your team get comfortable with the new tools. The support level can be adjusted based on your team’s requirements.
We build all logistics software solutions with industry-standard security protocols. Your data or route details remain protected and accessible only to authorised personnel.
The implementation schedule depends on your given requirements. Simple software for logistics can be implemented in 4-12 weeks, while comprehensive logistics software solutions typically require 3-6 months for deployment and staff training.