How Visionet modernized ERP and CRM for ICSC with Dynamics 365

How Visionet modernized ERP and CRM for ICSC with Dynamics 365

Client 

ICSC is the world’s largest retail real estate trade association, rebranded in 2021 as Innovating Commerce Serving Communities. The organization supports experiential marketplaces and fosters professional connections, transactions, and growth across the retail real estate industry. 

Intelligent Process Automation – Guide to Successful Implementation

Intelligent Process Automation – Guide to Successful Implementation

Today’s tech-driven world is all about automation. Almost every industry is reaping its benefits in one way or another and making its business more productive and efficient. One form, in particular, is making headlines across the globe and it is known as Intelligent Process Automation (IPA).

According to Gartner, IPA sits at the top of the list of the highest-ranked enterprise software and the spending on it is constantly increasing as well. Organizations are leveraging their efficiencies to enable digital transformation to achieve the desired business objectives.

Gearing Towards The Next Normal

Gearing Towards The Next Normal

One thing organisations have learnt in the wake of the recent disruptions is that constantly revamping digital prowess is vital for long term business success. Human-machine collaboration is essential to run operations seamlessly. While machines take care of repetitive tasks, humans utilize augmented intelligence technologies like Cognitive RPA to make important decisions.

 

Demand Forecasting: How to Slash Inventory Using Machine Learning & Signal Processing

Demand Forecasting: How to Slash Inventory Using Machine Learning & Signal Processing

The spreadsheet-based manual forecasting approach that is still used in many retail organizations is not suitable for staying ahead of the competition and improving their bottom line. Manual adjustments of forecasts in this method leave all inventory spend decisions to human judgement, which pushes towards generalized decisions rather than going with product, vendor, and market-specific indicators.