Use cases

How to use Aito in your projects.

Benefit from using Aito

Aito is for those who need fast-to-deploy non-narrow machine learning. For developers that care about fast time to market and have no access to data science resources. Or simply are after best bang for their buck and want to maximize their AI ROI.

Aito is faster to use than TensorFlow, more intelligent than Elasticsearch, yet easy and familiar like SQL.

Forecasting demand for IKEA

As part of the IKEA Open Innovation program 2019, Aito created a demand simulator for IKEA.

The demand simulator recognizes the different features of the new products, compares them to the historical data of products already in the assortment, and estimates how big the demand will be. Changing certain features (e.g. colors, material or size) simulates how the demand will change, and why.

The augmented results, generated by Aito’s predictive database, will assist the demand planner in better understanding and better estimating the demand. The MVP was created in a timespan of 5 weeks.

Augmented results to help you make better demand forecasts of new products.

Data sources

Product data

Sales data

Ikea demand simulator

Robotic process automation

Together with Korkia we allow you to easily deploy RPA. You can automate repetitive tasks such as invoice handling, reducing the chance of mistakes and improving process efficiency.

With 250 training examples, we got a 77% accuracy rate in invoice categorization.

Free employees from error-prone chores and focus on the core tasks within your organisation.

Data sources

Invoices

Korkia UI

Smart search

Smart search allows you to get easy access to heterogeneous and scattered documentation throughout your organisation. Think of internal chat channels, online tutorials, customer support issues, project management information.

Aito works great with both structured and unstructured/unlabelled data, which can be text, documents, numbers, events and behavioral data.

Uncover who knows what within your organisation, with no taxonomy or tagging needed.

Data sources

Trello

Slack

Github

smart search UI

Big plans? Let's talk more.

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