Enterprise AI as a Platform for a Digital Retailer

Key Challenges

  • Email workflow.
  • No single consistent source of data.
  • Data stored in many disparate enterprise systems.
  • Poor data quality.
  • Inconsistent & inaccurate analysis & outcome prediction.
  • Human-centric analysis & bias.
  • Loss of human capital.
  • Decision fatigue & delivery volatility.
  • Unnecessary management effort.

Key Requirements for SQA

  • Provision of Enterprise data normalisation & ETL engine
  • Provision of Full real-time visualisation & analytics capability for any data source
  • Provision of Natural language interface (voice and text)

Provision of Decision recommendation engine

SQA PROposed solution

  • Outbound / inbound template treatment, collation of information, categorisation, prioritisation, reformatting & presentation leading to:
    • Enhanced transparency.
    • Single view.
    • Data visualisation.
    • Data normalisation.
    • Data aggregation.
  • No ambiguity.
  • Analytics pad.
    • Full interactive multi-data source visualisation & data mashing.
    • 3D data-modelling capability.
    • AI-assisted data classification.
  • Command pad.
    • Direct access to real-time MI & insight.
    • A quick view of user goals, their status & relevant information.
    • Task monitoring & status updates.
    • Direct AI access via mobile, text & voice to ask neuro for specific questions, information, data, insight, or undertake specific actions such as setting a new goal.
    • Notifications (something has changed), anomaly detection (something is wrong) & predictive insight (something needs to change to meet a goal)
  • Reduced risk.
    • Manage RAID items more effectively by identifying their true status & impact & any associated action path.
    • Faster & more accurate decisions.
    • Improved productivity.
    • Increased management & executive insight.
    • Enhanced organisational transparency.
  • Improved outcomes & productivity.
    • Full real-time visualisation & analytics capability for any data source.
    • Natural language interface (voice & text).
    • Decision recommendation engine.
    • Decision support.
    • Decision automation.
  • Elimination of waste.
    • Real-time normalised data model.
    • No human intervention.
    • Removal of business, project & technology waste.
    • Reduced management effort.
  • Cost reduction.
    • Human capital release.
    • Predictive analysis.
    • Real-time analysis.
    • Faster information collation.
    • Faster decision.

solution benefits

  • Real-time normalised data model.
  • No human intervention.
  • Increased management & executive insight.
  • Enhanced organisational transparency Reduced risk.
  • Removal of business, project & technology waste.
  • Reduced management effort.
  • Faster more accurate decisions.
  • Improved productivity.

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