Focused Diagnostic
A short, defined engagement around one real replenishment decision—not a software implementation.
PRIMARY OFFERING • INVENTORY REPLENISHMENT DECISION DIAGNOSTIC
Improve the Decision.
Before Adding More Software.
Averin helps retailers assess how replenishment decisions are being made today—across existing planning tools, planner overrides and execution—and identifies where rules, exception intelligence and AI can improve decision quality.
DIAGNOSTIC AT A GLANCE
No New Application
Start with an agreed Excel, CSV, POS or planning-system extract. No new login, SSO or production deployment is required for V1.
Compare Existing Decisions
Evaluate current-tool recommendations, planner overrides, actual execution and an independent Averin diagnostic side by side.
AI Adoption Path
Identify where better rules, exception prioritization, analytics or AI can improve the decision before investing in automation.
THE BUSINESS QUESTION
Is your current replenishment process consistently surfacing the right decision?
The diagnostic does not assume that the existing platform is wrong or that a new AI application is needed. It examines what the current tool recommends, where planners override it, what is actually executed, and where recurring exceptions or decision gaps remain.
Replenishment Decision Map
Document how the decision is actually made today: data, thresholds, current-system logic, planner judgment, overrides and execution.
Decision & Exception Workbook
Prioritize SKU-location exceptions and compare current-tool recommendations, planner overrides and independent diagnostic recommendations.
Historical & Policy Assessment
Use available historical snapshots and outcomes to examine where existing rules, planner judgment and alternative logic differ.
AI & Automation Roadmap
Define the practical progression from better rules and filtering to decision recommendations, AI assistance and controlled automation.
DECISION COMPARISON
Current tool. Planner judgment. Actual execution. Independent diagnostic.
Averin captures the full decision sequence instead of evaluating replenishment from a single output. Repeated overrides and their reasons can become valuable evidence for future configuration changes, exception intelligence and later AI models.
Example decision history
- Existing tool: Replenish 24 units
- Planner override: 12 units
- Reason: upcoming markdown / seasonal exit
- Actual executed: 12 units
- Averin diagnostic: compares decision context and exception logic
- Later phase: compare each decision against the actual outcome
WHY THIS IS DIFFERENT
Independent decision assessment—not another platform implementation.
Averin can work across Blue Yonder, o9, ERP, Excel or internally built planning environments. The objective is not to replace a system that already works; it is to determine where decision quality, exception handling, configuration, planner overrides or automation can be improved.
01Vendor IndependentEvaluate the replenishment decision across the retailer's existing ecosystem rather than starting from a software vendor's feature set.
02No Deployment V1Begin with an agreed data extract and consulting deliverables—no new production application is required.
03Decision EvidenceCapture tool recommendation, planner override, execution and eventually outcome as separate pieces of evidence.
04Practical AIRecommend AI only where it adds value after rules, data quality and decision design have been assessed.
HOW AN ENGAGEMENT STARTS
One workflow. One extract. One independent assessment.
Averin starts by observing how a planner or buyer makes the replenishment decision today. The retailer then provides an agreed extract, and Averin returns a decision workbook, findings and a practical improvement roadmap.
Typical engagement inputs
- Recent sales and inventory
- Open / incoming inventory
- Lead times, pack sizes and target stock policies
- Current replenishment-tool recommendation where available
- Planner override quantity and reason where available
- Actual executed quantity
- Historical outcomes where available for validation
BROADER AVERIN EXPERTISE
Deep retail-planning expertise behind the diagnostic.
The replenishment diagnostic is the primary front-door service. Broader advisory remains available where findings expand into assortment planning, merchandise financial planning, allocation, data management or AI.
Assortment Planning
Pre-season and in-season assortment design, localization, breadth, depth, clustering and size decisions.
Explore →Merchandise Financial Planning
Sales, margin, markdown, inventory, receipts, OTB, scenarios and planning-measure dependencies.
Explore →Allocation & Replenishment
Initial allocation, replenishment rules, target inventory, size logic, exceptions and planner overrides.
Explore →Data Management & AI Advisory
Planning data foundations, measure governance, AI decision intelligence and practical adoption roadmaps.
Explore →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.