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SERVICES

Focused retail planning advisory—led by replenishment decision diagnostics.

Averin's primary offer is the Inventory Replenishment Decision Diagnostic. Broader advisory is available when findings expand into assortment planning, merchandise financial planning, allocation, data management or AI.

01

Inventory Replenishment Decision Diagnostic

Assess one recurring replenishment decision using the retailer's existing data, current-tool recommendations, planner overrides and execution history—without deploying a new application.

  • Decision mapping
  • Exception analysis
  • Current-tool recommendation comparison
  • Planner override analysis
  • Decision workbook
  • Historical / policy assessment
  • AI and automation roadmap
02

Assortment Planning Advisory

Improve pre-season and in-season assortment decisions with clearer planning logic, localization, clustering and planner workflows.

  • Assortment architecture
  • Breadth and depth
  • Localization and clustering
  • Size profiling
  • In-season assortment decisions
  • Process and workflow design
03

Merchandise Financial Planning Advisory

Strengthen financial planning logic, measures and decision processes from strategic targets through OTB and scenario management.

  • Sales, margin and markdown planning
  • Inventory, receipts and OTB
  • AUR, AUC and unit economics
  • Measure dependencies
  • What holds and what flexes
  • Scenario and reconciliation logic
04

Data Management & AI Advisory

Create the data foundation required for reliable planning and apply AI where it can materially improve decisions across assortment, MFP, allocation and replenishment.

  • Planning data models
  • Hierarchies, attributes and measures
  • Data quality and reconciliation
  • Integration requirements
  • AI use-case prioritization
  • Decision intelligence and adoption roadmap

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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