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    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 accessAll modules
    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