# Clementine ADI — oppiOS | OPPI > The confidence-scoring engine behind OPPI's predictions. Clementine learns from your venue's trading history to forecast outcomes before you commit. Canonical URL: https://oppi.au/oppios/clementine Site index for agents: https://oppi.au/oppios/llms.txt --- [oppiOS · all modules](https://oppi.au/oppios) MOD · clementine ## CLEMENTINE Collective Learning Engine Managing Efficiency Navigating Tasks And Intelligence in Networked Environments The ML-powered confidence scoring system that helps OPPI predict outcomes. Named after one of our founders from Concept Cafes, Clementine learns from your venue's historical data to generate confidence ratings for every recommendation. Capabilities 1. 01 #### Machine Learning Core Continuously learns from your venue's outcomes to improve prediction accuracy over time. 2. 02 #### Historical Data Analysis Analyses patterns from past decisions, seasonal trends, and operational results. 3. 03 #### Confidence Scoring Generates 0-100% confidence ratings on how positive an outcome will be. 4. 04 #### Effect Prediction Estimates the potential positive impact of recommended actions on your venue. 5. 05 #### Adaptive Learning Updates predictions based on real-world results and team feedback. 6. 06 #### Networked Intelligence Learns from anonymized patterns across the OPPI network while protecting your data. In practice 1. 01 #### Staffing Confidence CCR predicts whether adding a shift will generate positive ROI based on historical patterns. 2. 02 #### Inventory Decisions Confidence scores on reorder suggestions based on consumption trends and upcoming events. 3. 03 #### Risk Assessment Lower CCR flags decisions that need human review due to unusual circumstances. 4. 04 #### Opportunity Detection High CCR highlights actions with strong historical success indicators. 5. 05 #### Continuous Improvement Track CCR accuracy over time to see how OPPI learns your venue's patterns. oppiOS / clementine ### CLEMENTINE Capabilities 06 In practice 05 Route /oppios/clementine Status Active Get started ### Run CLEMENTINE on your venue. [Get early access](https://oppi.au/getOPPI#signup) [All modules](https://oppi.au/oppios) CLEMENTINE · oppiOS module ### Who Uses OPPI Hub Configure once at the top, experience everywhere below. Each role interacts with OPPI Hub differently. #### Owners & Senior Managers Trust the engine ##### Review CCR Analytics Monitor how confident OPPI has been and how accurate those predictions turned out ##### Set CCR Thresholds Define what confidence level is required before OPPI can auto-implement actions ##### Network Insights See how your venue's CCR compares to anonymized industry benchmarks ##### Learning Progress Track how Clementine's accuracy improves as it learns your venue's patterns ##### Override History Review cases where team decisions differed from high-CCR recommendations #### Venue Managers Understand the score ##### See CCR Breakdown Understand why Clementine gave a specific confidence rating to each recommendation ##### Contribute Feedback Mark outcomes to help Clementine learn from your venue's specific results ##### Context Flags Add context (local events, weather changes) that help refine future predictions ##### Review Low-CCR Tasks Focus attention on items where Clementine needs human judgment ##### Accuracy Tracking See your venue's prediction accuracy trends over time #### Team Members Act with confidence ##### See Confidence Indicators Visual CCR badges on tasks show how certain OPPI is about recommendations ##### Prioritise by CCR High-CCR tasks often indicate quick wins with reliable outcomes ##### Provide Outcome Data Simple feedback on task results helps Clementine learn faster ##### Understand Reasoning Clementine explains the factors behind its confidence ratings ##### Trust Building See historical accuracy to build confidence in OPPI's suggestions