IMPROVE DECISION QUALITY
AI Enabled Decision System
Create partnerships between people and AI to revolutionize business decision-making. Whether through AI automation or user intervention, every decision is objective, transparent, and traceable. This trust-driven approach overcomes the common challenges of adoption and value realization inherent to modern business applications, while enhancing decision speed, quality, and confidence.
How the Decision System establishes a fusion team between User and AI
Probability
Quantify uncertainty of every prediction with likelihood of success, expected business impacts, and risk-adjusted alternatives
Explainability
Demystify AI predictions through clear explanations of data used and features engineered, as well as drivers employed, importance, and contribution
Adaptability
Continuously learn and improve from outcomes and overrides, automatically adjusting to changing business conditions and growing smarter over time
Using proven behavioral science principles, we've transformed the complexities of AI-driven supply chain planning into simple, intuitive workflows. Meet our AI Fusion Teammate: a personal guide through a decision-making process designed to feel seamless, natural, and genuinely rewarding. This Teammate and Planner combine their strengths to create an AI Fusion Team, amplifying efficiency, insights, and impact beyond the sum of their unique “human and machine” parts.
INTERPRETABILITY FOR BUSINESS USERS
We democratize data science for business users with built-in explainability and transparency at every step. This level of clarity fosters trust, accelerates adoption, and unlocks measurable business impact.
EMPOWERED PRACTITIONERS
Freed from non-value add activities, demand planners leverage AI/ML workflows to:
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Generate more accurate forecasts
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Improve decision making quality
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Increase portion of no-touch SKUs
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Reduce time spent on forecasting
Recognition
They thrive when effort and accomplishments are recognized.
Growth
Their skill development and career progression are crucial to long-term satisfaction.
Balance
They spend less time deciding and more time living. Transform hours of decision-making into minutes, creating more time for rewarding work and personal well-being.
How AI Fusion Teams Create Business Value
How AI Fusion Teams Create User Value
Autonomy
They feel more satisfied when they have control over their work, decision-making, and how they approach tasks.
Purpose
They are motivated when the connections between their work and the company purpose are clear.
OPTIMAL BALANCE FOR IT USERS
IT users experience enhanced control coupled with AI automation where machines excel, ensuring maximum efficiency and accuracy. Unlock the power of AI for your business team with a set of practices and tools that facilitate development, deployment, and maintenance of ML models.
Decision Dashboard
The Decision Dashboard is the starting point
Accuracy
Our AI predictions offer the best demand forecasts through comprehensive data treatment, feature engineering, and advanced models
Automation
Suggested Automations are generated where AI has enough evidence that it can confidently call the shots
Intervention
Suggested Interventions are proposed where human judgement is poised to create more accurate decisions
Decision Process Roadmap for Fusion Teams
Eliminate Ambiguity with Decision Quality Scores
AI predictions are benchmarked against baselines to measure accuracy gains. User overrides are then tracked against AI predictions to assess impact. Continuous monitoring of these metrics drives behavior change and better decision quality.
Maximize Efficiency with No-Touch SKUs
Our AI techniques increase prediction accuracy and create more no-touch SKUs, so teams achieve more with less.
Stop relying on outdated and error-prone manual processes. Our innovative approach streamlines connections with source systems, establishes a common schema, and treats the data for optimal quality.
STEP 1: Identify Decision
Suggested interventions surface decisions organized by category, that the AI Fusion Teammate has flagged for Planner review. Each category reflects relevant considerations for the planning-cycle, with drilldowns into the current period for each, offering detailed decisions requiring user action.
Ditch time-consuming manual preparation and analysis paralysis typically associated with feature engineering. Our domain-specific approach automates the entire process, maximizing effectiveness throughout generation, analysis, and selection of features and drivers. The outcome? More accurate predictions and improved explainability.
Enhance Forecast with Purpose
Every human edit should improve the forecast – not degrade it. Too often, this is not the case. We’re here to change that.
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Maximize Efficiency with No-Touch SKUs
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Empower Planners as Partners
Planners can act as journalists, refining and enhancing the co-pilot's performance. We make this process seamless and intuitive.
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Drive Sustainable Growth through Efficiency
Efficient demand planning is critical to long-term success. With the Noodle Decision Dashboard, companies gain a powerful advantage that ensures smarter decisions, faster.
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WHO IS THIS FOR?
Personalized Role-Relevant Dashboards
STEP 1
Identify Decision
STEP 2
Gather Information
STEP 3
Identify Alternatives
STEP 4
Weigh Evidence
STEP 5
Decide & Edit
STEP 6
Document & Submit
A key step in the decision-making process is evaluating forecast alternatives: What quantities should I consider? How might each choice impact my business? Noodle allows users to:
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Align forecasts with business strategies by selecting the most suitable position along the probability curve
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Assess alternative scenarios in business context, and quantifying revenue at risk for expiring inventory
STEP 3: Identify Alternatives
Go beyond a one-number prediction, with a comprehensive view of potential outcomes, their probabilities, and their impact on the business.
STEP 4: Weigh Evidence
Assess the features, key drivers, and qualitative data behind each prediction to make informed decisions when exploring alternative quantities.
Empowered Planners as AI Partners
With more time available, Planners can act as journalists, providing more data that refines and enhances prediction accuracy.
Sustainable Growth through Employee Experience
Efficient and simple decision-making processes are critical to new hire onboarding, training, retention, and long-term success.
STEP 2: Gather Information
Upon selecting a specific intervention, users gain clear insights into why they’ve been asked to consider overriding the AI’s automated prediction. These insights include past predictions, the quality of both AI and human decisions, new predictions, and confidence levels.
STEP 3: Identify Alternatives
Go beyond a one-number prediction, with a comprehensive view of potential outcomes, their probabilities, and their impact on the business.
STEP 4: Weigh Evidence
Assess the features, key drivers, and qualitative data behind each prediction to make informed decisions when exploring alternative quantities.
STEP 2: Gather Information
Upon selecting a specific intervention, users gain clear insights into why they’ve been asked to consider overriding the AI’s automated prediction. These insights include past predictions, the quality of both AI and human decisions, new predictions, and confidence levels.
STEP 5: Decide & Edit
Submit the AI prediction to the plan of record for the current cycle, adjust individual periods or apply bulk edits with ease.
STEP 6: Document & Submit
When overriding an AI prediction, users must provide a reason in natural language. This captures human judgment to enhance future AI predictions and supports objective root-cause analysis.
