Implementing AI and IoT-driven solutions can help companies optimize their field service operations. Visionet’s innovative microsoft-powered field service tools VisiField, VisiConnect and VisiDepot are AI-driven solutions that can enhance operational efficiency and customer satisfaction while simultaneously reducing costs and environmental impact.

This white paper will uncover how you can address the ever-shifting requirements of field services by tapping into the power of Visionet’s microsoft-powered holistic field service solutions. You will learn:

The Impact of AI-powered Forecasting

The modern business world is volatile owing to rising competition, technological disruptions, and business model innovations. To mitigate uncertainty and remain competitive, organizations need to make prudent decisions. Forecasting enables keen insight into the future and is necessary for business decisions as diverse as inventory planning, production planning, capital expenditure allocation, workforce planning, etc. The wide-ranging impact and need for it in various domains make forecasting software an essential business asset. 

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.

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.

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.