# An approach to standardize, automate omni-channel and AI transactional digital service creation

arXiv: https://arxiv.org/abs/2211.03543 · HTML: https://mlsanity.com/paper/2211.03543/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 12 references that are in the map.
- First posted on arXiv 4 Nov 2022.

## Builds on (most cited first, 1 of 1)

- [ktrain: A Low-Code Library for Augmented Machine Learning](https://mlsanity.com/paper/2004.10703/) (2020)

## Abstract (arXiv)

Our work is at the crossroads of two categories of technologies. On the one hand, omnichannel digit services, to address the needs of users in the most seamless way. On the other hand, low code approaches, to build simply even complex software applications. In this twofold context, we propose DSUL (Digital Service Universal Language). It allows to build omnichannel services with minimal work from their designers. We describe precisely how DSUL operates, and its innovation in regard to the state of the art. We also consider the various methods to evaluate this framework.