AI-Powered Planning
At the heart of AnyPlan3D™ lies a powerful suite of services prepared to revolutionize AI based planning and decision-making. From optimizing resource allocation in real time to simulating complex project scenarios, AnyPlan3D™ supports cutting-edge techniques such as machine learning, search algorithms, and causal AI to deliver actionable insights.
Whether it’s scheduling tasks, managing logistics, or predicting outcomes, our intelligent platform empowers teams to make faster, smarter decisions—transforming raw data into strategic value.
Strategic & Imperative
In upstream oil and gas, where over 98% of operational data is deterministic, the Integrated Activity Planning (IAP) system is mission-critical. Its integrity is paramount to financial governance and security protocols. Given the zero-tolerance for operational risk, the implementation of autonomous management systems carries significant potential consequences. When deployed as a disciplined decision-support tool, however, AI becomes a strategic differentiator.
Depth-First Search and Breadth First Search
AnyPlan3D™ SmartNet® incorporates two fundamental shortest-path algorithms: Depth-First Search (DFS), which explores branches completely before backtracking, and Breadth-First Search (BFS), which systematically explores by depth level.
A-star Search Algorithm
AnyPlan3D™ supports use of the the A* search algorithm—famous for optimal pathfinding in fields like robotics and gaming. In AnyPlan3D you can use this to determine the best production services routes and passenger allocation for helicopter services and hotel beds.
Critical Path Method Algorithm
In AnyPlan3D™ the critical path is very complex since it includes a network of any type of dependents between maintenance, operational, project and production activities. In addition, it may include production services activities related to helicopter, supply vessels, supply chain etc. Time could be a function of speed over distance or time as a function of traffic patterns.
Traditional CPM algorithms fell short in this complex model
Constraint Satisfaction Problem
CSP involves defining a set of variables, domains, and constraints to find a solution that satisfies all constraints
The AnyPlan3D™ can utilize the algorithm to monitor and proactive conflict management for critical resources and activities that overlapped within the same time span
Supervised Learning
In AnyPlan3D™, supervised learning uses historical data to train models for predicting time, cost, and resource allocation. A key challenge, however, is then need for large amounts of high-quality labeled data to prevent overfitting.
Unsupervised Learning
In AnyPlan3D™, unsupervised learning analyzes unlabeled data to uncover hidden relationships between work packages and identify anomalous patterns related to risk or trends. These insights help users take preventive actions during the planning phase.
A key challenge, however, is the need for large amounts of high-quality labeled data to prevent overfitting.
Reinforcement Learning
AnyPlan3D™ could use reinforcement learning, where an AI planning Robot learns through trial and error by receiving rewards or penalties, to generate and suggest optimal planning and resource allocation scenarios.
Deep Learning
Deep Learning for scheduling involves using deep neural networks (SmartNet™) to automatically learn complex patterns and dependencies from historical project data in order to generate, optimize, or predict schedules.
Causal AI
Causal AI identifies the root causes of events, like project delays, by modeling cause-and-effect relationships. It moves beyond correlation to answer “what if” questions, enabling strategies that address underlying factors—such as budget shortfalls—rather than just symptoms.
Natural Language Processing like ChatGPT
AnyPlan3D™ can makes use of NLP for help and suggestion to improve usability of AnyPlan3D™
IAP intelligence engine
AnyPlan3D™’s Integrated Activity Planning (IAP) acts as an AI-powered intelligence engine. It transforms raw data into real-time, actionable insights that directly optimize critical metrics like profitability, safety, and sustainability. As a mission-critical system, it ensures timely, data-driven decisions for long-term business viability.
Technical solution
Overview of how AI can be integrated into current AnyPlan3D™ application structure
Interactive user assistance
Backside microservices aligning data for AI and ML
