Automate Your Global Trade & Supply Chain With AI
Leading companies using KAI
Adapt KAI to:
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Reduce up to 75% of your global trade manual product classification.
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Save on average $150k in reclassification fees.
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Avoid penalties of up to $1M for violations of trade compliance.
An AI-powered global trade & supply chain management platform that reduces 75% of manual product classification.
The goal of KAI isn’t to replace humans, but to make processes 10x more efficient and to save your company resources.
Product Classification
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Predict classification codes for new products
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Identify anomalies by comparing existing tasks with ML predictions
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Classify and scale effectively without additional headcount
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Invest less time in transactional compliance and more time in strategic cost-savings initiatives.
Freight Classification
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Automate the classification of freight codes to ensure accuracy and consistency across your business
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Demand forecasting for freight forwarder industry, ensure better transportation planning
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Add intelligence to your transportation planning/carrier selection processes to have better decision making
KAI Duty Drawback
Around 70% of duty drawback refunds remain unclaimed and lost. Filing drawbacks puts cashback in your pocket. Leverage Avyay's accelerators & templates for a quick integrated duty drawback solution to extract your export, import & production data from various source systems into the appropriate duty drawback reporting format with a click of a button.
KAI Data Clean-Up
Inaccurate and inconsistent product classification data can lead to inaccurate classification, which could result in penalties or even lawsuits.
KAI Clean-up Service can provide you a much-needed sigh of relief without getting your hands dirty. Clean-up service will ensure you have accurate, useful data to support classification across your business.
We will provide a report highlighting inaccurate or inconsistent data using AI. Use the report to reclassify or delete outdated, incorrect, redundant, or incomplete data from classification databases.
AI is clearing away the clutter so businesses can focus on the things that matter.”
How KAI works
Data is collected and analyzed using KAI.
A baseline model is created using the KAI pipeline and deployed to the KAI webapp for testing. The validated model is loaded to the KAI server and integrated with the trade software.
The process must be repeated to ensure the models are trained with the latest data.
Savings When Adopting KAI
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Existing classification data is identified and extracted
Historical data is used to train and fine tune a machine learning model
Model is deployed and predictions are served to compliance system
Case studies
