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DATA MANAGEMENT & AI ADVISORY

Build trusted planning data first. Apply AI where it improves decisions.

Averin helps retailers strengthen the data foundations behind assortment planning, MFP, allocation and replenishment, then apply AI around explicit planning decisions rather than generic analysis.

01

Decision-First AI

Start with a recurring planning decision, the current system recommendation, planner judgment and outcome evidence before deciding whether AI should observe, prioritize, recommend or act.

  • Decision mapping
  • Current-tool recommendation capture
  • Planner override capture
  • Exception taxonomy
  • Recommendation boundaries
  • Outcome measurement
02

Planning Data Foundation

Define the hierarchies, attributes, measures, grain and governance required for reliable planning decisions.

  • Product and location hierarchies
  • Planning measures
  • Attribute strategy
  • Calendar and time grain
  • Data ownership
  • Quality and reconciliation rules
03

AI Decision Intelligence

Move beyond dashboards toward systems that prioritize exceptions, explain recommendations, remember decision context and improve over time.

  • Exception prioritization
  • Override-pattern analysis
  • Decision-memory design
  • Scenario intelligence
  • Explainable recommendations
  • Recommendation vs outcome learning
04

AI Governance & Adoption

Define where AI should observe, recommend or act, with explicit controls around consequential planning decisions.

  • Human approval boundaries
  • Confidence thresholds
  • Audit trails
  • Outcome measurement
  • Planner feedback loops
  • Responsible automation

START WITH THE DECISION

Start with the replenishment decision you already make today.

No new application is required for the first engagement. Use an agreed extract from the systems you already have and identify where better rules, exception intelligence or AI can create value.

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