Glossary

Explore Meshline

Products Pricing Blog Support Log In

Ready to map the first workflow?

Book a Demo

Glossary / Ecommerce

Ecommerce glossary terms for operational teams.

Use these Ecommerce definitions as mini-articles for understanding concepts, examples, workflow impact, and where Meshline can help.

Showing 48 of 630 terms in this category

A

2 terms
Address Validation
Average Order Value (AOV)

B

4 terms
Backorder Management
Backorders
Bundle Pricing
Buy Online Pickup In Store (BOPIS)

C

42 terms
Carrier Exception Actionability
Carrier Exception Approval Path
Carrier Exception Assignment
Carrier Exception Cost Impact
Carrier Exception Decision Rule
Carrier Exception Exception Path
Carrier Exception Failure Signal
Carrier Exception Handoff
Carrier Exception Impact Review
Carrier Exception Intake Rule
Carrier Exception Margin Signal
Carrier Exception Operating Cadence
Carrier Exception Owner
Carrier Exception Priority Rule
Carrier Exception Promise Check
Carrier Exception QA Review
Carrier Exception Recovery Plan
Carrier Exception Resolution Rule
Carrier Exception Risk Check
Carrier Exception Routing Rule
Carrier Exception Status Rule
Carrier Exception Success Metric
Carrier Exception Traceability
Carrier Exception Workflow Trigger
Carrier Selection
Carrier Workflow Alerting
Carrier Workflow Audit Trail
Carrier Workflow Backlog
Carrier Workflow Bottleneck
Carrier Workflow Classification
Carrier Workflow Control
Carrier Workflow Cost Signal
Carrier Workflow Exception Queue
Carrier Workflow Forecast
Carrier Workflow Governance
Carrier Workflow Health
Carrier Workflow Latency
Carrier Workflow Monitoring
Carrier Workflow Ownership
Carrier Workflow Policy
Carrier Workflow Prioritization
Carrier Workflow Quality

Guides for your next buying decision

Clear definitions, practical examples and criteria for choosing tools and planning implementation.

Commerce and customer experience (60)

Implementation decisions

Put this into practice

Before investing in Ecommerce glossary terms for operational teams, define the problem, the available data and who will review the outcome.

Questions before choosing a solution

  • Which task or decision should improve? Document a real example and the expected outcome.
  • Which data and permissions are required? Check quality, access and an owner for every source.
  • How will you test a normal case and an exception? Define human review and recovery.
  • What will implementation and maintenance cost? Ask for scope, owners and acceptance criteria.