Build smarter factories and resilient supply chains with AI

Predict failures before they halt the line, keep shelves stocked without overbuying, and deliver every order on time. Avahi spins up a secure cloud workspace so you can deploy production-ready models fast.

Industry challenges

Persistent supply-chain disruptions and elevated logistics costs threaten on-time delivery

Rising input prices, labor shortages, and capacity constraints squeeze margins

Unplanned downtime can swallow up to 20 percent of productive capacity without predictive maintenance

Cyberattacks on operational-technology systems are increasing, exposing aging infrastructure

Inaccurate forecasts drive costly stockouts and excess inventory across global networks

6437530 3314859

Why you’ll love Avahi AI for manufacturing & supply chain

Union 42
Minimize
downtime

Predictive algorithms analyze vibration, temperature, and power-draw data to flag failures days in advance, cutting maintenance costs and scrap

Union 36
Raise
first-pass yield

Computer-vision inspection catches micro-defects faster than human eyes

Union 43
Design

products faster

Generative AI trims engineering cycles, letting teams reach market first

Union 44
Forecast demand
with confidence

Machine-learning models process real-time sales and supplier data to free up working capital

Union 27
Protect every
packet

Avahi isolates data flows in a zero-trust OT network aligned with current cybersecurity guidance

Top AI use cases in manufacturing & supply chain

Real-world results

Avahi’s predictive models shaved four hours of unplanned downtime per line each week, worth over two million dollars a year.
image 12

Anika Patel

Operations VP, Horizon Components

Key Result

Product-design iterations completed 87 percent faster after generative-design rollout

Ten-fold increase in pick efficiency using AI-guided warehouse robots

Delivery fuel costs cut 12 percent through real-time route optimization

group 144 7

Everest AI boosts logistics throughput 5× with Avahi’s Gen AI document pipeline on AWS

Challenge

Manual invoice and bill-of-lading reviews slowed load releases and created costly data-entry errors across a multi-carrier network.

Solution

Avahi deployed an event-driven, serverless Textract → Bedrock pipeline inside Everest’s VPC, auto-extracting key fields to ChromaDB and pushing clean data straight into the TMS, no freight document ever leaves AWS.

Results

< 10 s turnaround per document
(5× faster processing)

98 % extraction accuracy confirmed in PoC testing

Zero data egress, satisfying SOC 2 and shipper-data-privacy requirements

Frequently
Asked Questions

Do you store production data?

No. All telemetry and ERP feeds stay in your dedicated cloud environment under your encryption keys and IAM policies.

Which MES, ERP, and WMS platforms do you integrate with?

SAP, Oracle, Infor, Microsoft Dynamics, Epicor, Blue Yonder, Manhattan, and any system exposing REST, OPC-UA, or MQTT endpoints.

How fast can we launch a pilot?

Most plants spin up a proof of concept in under three weeks using Avahi starter blueprints.

What compliance frameworks are covered?

ISO 27001, NIST CSF, PCI DSS for payment data, and regional data-sovereignty rules.

Ready to build a smarter, more resilient operation?

No credit card required. Get a tailored roadmap in thirty minutes.

No credit card required. Get a tailored roadmap in thirty minutes.

Download Solution Brief