The World’s Most Powerful
AI Logistics Optimization
for Amazon Sellers

HyperC technology is helping Top Amazon Sellers and Fortune 500 companies reduce the cost per unit shipped and brings stability and scalability into the inbound shipping process.

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No more human errors in figuring out
the optimal cost per unit shipped.

HyperC is an AI-based engine built for solving the most optimal packaging weight and dimensions, while helping you place the most optimal product mix, and find the most optimal shipping channel while automatically assessing risks and current situations with ports, weather, and all other special conditions. HyperC helps you find the least risky and least pricey cost per each unit shipped.

Make your data
work for you

Convert any database application into an automated ERP platform at a fraction of the cost with a revolutionary self-service business language.

Connect the data you use every day for trucking, services requests, packaging, manufacturing orders and let the machine figure out optimal operations.

The Ultimate
AI Planning System

Automate the most routine and time consuming tasks such as shipment planning, selecting the right weight and size and frequency. HyperC is built for solving the most optimal packaging weight and dimensions, while helping you place the most optimal product mix, and find the most optimal shipping channel while automatically assessing risks and current situation with ports, weather, and all other special conditions to minimize over 90% of ineffective estimations and calculations

Solving the Top Challenges Faced
by the Logistics Industry

Out of Stock Control

Our system will eliminate Out of Stock problems with your products and ensure smooth and stable selling while initiating next restocking activity.

Automatic Shipping
Label Creation

We automate the pipeline of creating shipping labels to save you most of the time on the next shipments and make it done in a matter of few clicks.

Control of The Full
Cycle of Sales

We keep track of your current sales and marketing activities to connect the data of the whole sales funnel and respond accordingly with inventory stock adjustments. In case of delays with logistics and product shipments we create suggestions on your sales strategy adjustments.

Superior Sales Forecasting

We use the most advanced AI techniques to forecast your upcoming sales based on historical data and the most relevant factors, which have been affecting the sales for your specific case.

Industry Leaders Trust HyperC

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Author Name
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I’ve been in the space of software development and no code approaches for a long time now and have never seen anything like this! Amazing! This is by far the most superior low code technology I have ever seen.‍

Manish Balakrishnan
Founder @ No Code Journalname

This could be a core technology behind every planning problem.

Steve Krouse
Future of Coding

Fascinating convo today with @Andrew_Gree, co-founder and #CTO of @theHyperC, which uses radically advanced #AI that can figure out how to use code to solve problems, little to no coding required.

Dion Hinchcliffe
IT futurist and keynote speaker from ZDNet and CIO journal

Great implementation of AI planning, solving a real world problem.

Antonin Komenda
Assistant professor at Czech Technical University in Prague - Faculty of Electrical Eng. - Artificial Intelligence Center

I am impressed. This looks like a 20-year story but the approach is working already today

Adam Smith
Assistant Professor of Computational Media at UC Santa Cruz

NASA is spending tens of millions of dollars on formal methods and what you did is super impressive”. “Security experts, Aerospace real-time algorithms developers urgently need to get proof that the systems are correct, and this technology makes it so much easier to do

Mark Reynolds
Research Scientist, Boston University

This is a very intriguing idea!”, “We’ve been using SAT solvers to synthesize programs but never thought about applying AI planning to the problem

Rastislav Bodik
Paul G. Allen School of Computer Science & Engineering, Professor at University of Washington Seattle

I’ve been thinking about something like this for a while now. This is very exciting.

Joscha Bach
VP of Research at AI Foundation
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