Our Team Innovation Directions

MATH ALGORITHMS

Benchmark of Entities or Scenarios

We have being working to develop the BEST algorithms for benchmarking multi-objective problems. Benckmarking algorithms allow to rank by efficiency level a set of Entities or Scenarios.


Application Scope(s): Logistics, Manufacturing

Innovations:

- 2026/Mar [NEXUS]: New Deep learning approach to MEA

- 2025/Oct [NEXUS]: First non-linear MEA version

- 2025/Mar [NEXUS]: New Fuzzy MEA version

MATH ALGORITHMS

Forecasting of Zero-Inflated Time Series

We have being working to develop the BEST algorithms for forecasting of zero-inflated time series. This series are quite common in ral problems when there a on-off situation (e.g. sell value/no sell or capacity/empty).


Application Scope(s): Logistics, Manufacturing

Innovations:

- 2026/Fev [ILLIANCE]: (to be added)

- 2025/Mar [NEXUS]: (to be added)

MATH ALGORITHMS

Route Cause Analysis

We have being working to develop the BEST algorithms for Root Cause Analysis.


Application Scope(s): Logistics

Innovations:

- 2026/Jun [NEXUS]: (to be added)

- 2025/Jun [NEXUS]: (to be added)