Agentic Al for Industrial Operations
Automate, Optimize, Transform
SWARM’s AI-powered digital Agent, AVA, is designed to identify inefficiencies, structure challenges, and optimize decision-making across supply chains, logistics, and workforce planning—helping businesses move from insights to action
Tangible impact
$1M+
Savings for every customer
7-10x
Average return on investment
400%
Reduction in planning time
SWARM is trusted by leading enterprises to automate, optimize, and transform their supply chain, production planning, and workforce planning—delivering measurable business results.
What we do
SWARM applies AI-driven problem-solving to help businesses structure and solve operational challenges efficiently.
Our Challenge Engineering® framework organizes problems into structured models that AI can solve, leading to:
Smarter resource allocation
More effective workforce planning
Improved supply chain coordination
Faster and more accurate decision-making
Instead of simply providing insights, SWARM automates the entire process to deliver concrete results.
Who we work with
SWARM works with businesses in agrifood, manufacturing, logistics, retail, and labor-intensive operations, helping them improve processes and reduce inefficiencies.
From optimizing supply chains to managing large-scale workforce logistics, SWARM adapts to different industries and business needs to improve efficiency and profitability.
How we work
1
Define the Challenge
Using Challenge Engineering®, SWARM helps clarify operational problems in a way that AI can analyze and solve.
2
Build a Custom AI Solution
SWARM’s Agentic AI applies industry-specific models to optimize supply chain logistics, workforce planning, production schedules, and more.
3
Seamless Integration
The platform connects with existing enterprise systems (ERP, WMS, TMS, or other tools), reducing manual work and continuously optimizing processes.
4
Real-Time Adjustments
Once in place, SWARM provides ongoing AI-driven insights and automation to adjust operations in real time, reducing costs and improving decision-making.
By automating complex operational decisions, businesses can improve efficiency, reduce costs, and respond faster to changing conditions.
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