Digital WH

Profesionalize your IT services and optimize the costs: 

• ExternalizeyouIT services & activity 

• Use our ressources with clear SLA instead of hiring yours (human management & career) 

• Find and chose the right system for you (ERP, MRP, WMS, TMS, …)

Supply Chain & Logistics Process Analysis: 

• Process Mapping (AS IS / TO BE) 

• Process optimization 

• Supply Chain & Logistics Project Management

WH LayOutEngineering:

• Design & Draw layout for new or existing Warehouse (Microstation, AutoCAD) 

• Analyse layout and propose optimisation 

• Simulate layout using ARENA, Witness

Robotic Process Automation 

Define strategy depending on your specific organization and internal rules 

Process Analysis& RPA Development using UIPATH 

RepairexistingUIPATH robots 

Maintenance contract(upgrade/adaptand repairUIPATH RPA robots)

Support on your journey with VBA tools

VBA Development& VBA Repairexistingtools Maintenance contract(upgrade/adapt and repair VBA tools)

Data Analysis& Business Intelligence :

 SPOTFIRE & Business Objects DESKI, BI4 from SAP

Software as a Services : 

Specific Developments fitting customer needs with JAVA, C++, C#, HTML, Android Studio,…

Robotic Process Automation aims to use a computer (a.k.a. robot) to manipulate existing application software (CRMs, ERPs, help desk and claim applications)in the exact same way that a person works with those systems. 

This is why RPA is commonly referred to as non- invasive integration.

RPA aimsto free up the repetitive and non value added clerical tasks performed by humans, transforming the human workforce into “User Administrators” , whose role is to make judgement calls, handle exceptions and provide value oversight much more than it did while administering the services

Data analytics (DA) is the process of examining data sets in order to draw conclusions about the information they contain, increasingly with the aid of specialized systems and software. Data analytics technologies and techniques are widely used in commercial industries to enable organizations to make more-informed business decisions and by scientists and researchers to verify or disprove scientific models, theories and hypotheses

Data analytics initiatives can help businesses increase revenues, improve operational efficiency, optimize marketing campaigns and customer service efforts, respond more quickly to emerging market trends and gain a competitive edge over rivals -- all with the ultimate goal of boosting business performance. Depending on the particular application, the data that's analyzed can consist of either historical records or new information that has been processed for real-time analytics uses. In addition, it can come from a mix of internal systems and external data sources.