Check what your buddy in supply chain management can do for you
AUTOADAPTIVE & COLLABORATIVE AI
SAFE : KNOW WHAT TO EXPECT
HANDS-ON EXPERIENCE
Nadii targets 99% of autonomous decision and interacts with your staff. He encourages your employees to cooperate with the system in order to achieve outstanding results and avoid common issues. He also mixes traditional robust forecasting methods with dedicated approach based on machine learning solutions.
Nadii benefits from the advantages of machine learning and AI driven technology to help you make the most optimal decisions. He also shows that Artificial Intelligence can cooperate with humans, so that both can focus on what they are best at.
Automatically adapts to new circumstances


Based on AI-driven algorithms adapted to your business drivers
You can use your own real data and simulate Nadii to compare the results with your existing system and forecasting methods. This way you will feel safe before starting Nadii’s automated live ordering process. Nadii also offers convenient integration through a safe link and doesn’t require to make any changes or modifications in your existing database.
No results = “no fees” simulation on real data



Easily integrates with any database and features friendly UI
Fully customised to your needs and type of business

Nadii has been developed by experts who have many years of experience in supply chain management and forecasting. With his help you will quickly find out how to minimise unnecessary inventory movements and at the same time increase products availability. Nadii Forecast future demand and lead times with outstanding precision thanks to over 200 tested and proven algorithms, which make 99% optimal inventory decisions. He will also teach you how to automate the process of ordering and replenishing wares in your stock. It means that you will save a lot of precious time and money spent on optimising your logistics costs.
Automates the process of ordering and replenishing wares


Precisely forecast demand and lead times
Knows how to deal with big data

