The ERP’s Project Management area enables the company to shape, follow, and predict long term plans. It delivers efficient orchestration of resources and actions for adapting to the occurrences happening during the project’s development.
The human feeling in choosing the reaction to them, together with the calculations offered by AI for all the possible counteractions with costs and delays, offer the best collaboration for achieving the best performing administration of the company’s programs.
Project preparation and Analysis
Directing a project is an art. The manager can perform it in infinite ways. The best ones always find the proper adaptation to the occurring events. The trick of success is keeping track of all the crucial information that could influence the project’s progression.
Essential information like, for example, dependencies between steps, required resources, necessary continuous working days, external resources are crucial for perfecting the planning. AI can provide the sequence schema offering many options (like highlighting the possible risks in case of delays, cost optimisation, etc.) during the analysis.
Resource administration
The Project Manager has a pool of resources for developing the project, and they can be employees, external consultants, external services. Each resource has an own availability, like, for example, the allowed working time for the project, the on-call reaction time, and the mandatory appointment for each call.
Artificial Intelligence optimises here the best fitting resource for each task. It considers the possible backup and highlights when there is no backup, and the risk of delay can reach a period of leave days already requested by the assigned resource. These tools permit the PM the best allotting of people and services.
Cost handling
The difference between the cost estimation made at the start of the project and the final total cost is the sum of all non-predicted occurrences during the project’s deployment. The PM has the power to choose the way to react to every circumstance. For example, when a resource is suddenly not available, is it better to delay the project or pick from the backup ones?
The AI tools calculate all the possible options on every change. They calculate the prediction of costs, time and quality for each proposed solution, so the PM receives effective facilitation in choosing how to adapt the execution of the project.
Conclusions
Artificial Intelligence provides anticipated predictions for events with a high probability of happening. It gives possible workarounds for every foreseen case—a useful help in choosing to have the most refined information on each option.
The journey
You can start the journey here:
The world of ERP… with a pinch of AI
The first episode:
The second… sales:
#3: Billing
Chapter 4: Customer care
Fifth episode:
Intelligent Purchasing with Machine Learning
The sixth: Production
N.7 – Inventory
Episode 8 – Service
AI as an aid for the Service management
9: Finance
Financial and accounting management + ML
Number ten:
Have you joined the ERP Community yet?
Membership is free!