Merchandising & Trading
- Demand forecasting
- Assortment analysis
- Slow-moving stock identification
- Markdown recommendations
- Replenishment insight
- Promotion analysis
- Trading alerts
AI & Automation
Apply AI where it creates measurable commercial value.
AI is creating new opportunities across ecommerce, merchandising, customer experience, marketing and operations — but the starting point should not be the technology. It should be the business problem.
Commerce 360 helps retailers and consumer brands identify the most valuable AI and automation opportunities, assess whether the business is ready and create a practical roadmap for implementation.
Commercial problem first. Technology second.
Start with the commercial problem.
The strongest AI opportunities are usually found where teams are spending too much time manually, decisions are slow, data is difficult to interpret or commercial value is being lost.
- Manual reporting
- Slow merchandising decisions
- Poor forecasting
- Excess stock
- Customer service workload
- Low conversion
- Inefficient campaign production
- Weak personalisation
- Fragmented data
- Repetitive operational tasks
Opportunity areas
Where AI can create value
Ecommerce & Customer Experience
- AI-powered site search
- Product discovery
- Recommendations
- Shopping assistants
- Conversion insight
- Customer journey analysis
Customer Service
- Order-status automation
- Returns queries
- Product questions
- Agent assistance
- Knowledge-base support
- Query triage
CRM & Personalisation
- Segmentation
- Next-best-action
- Customer lifecycle campaigns
- Churn signals
- Personalised content
- Retention opportunities
Content & Productivity
- Product descriptions
- Localisation
- Campaign content
- SEO support
- Reporting
- Meeting summaries
- Data interpretation
- Workflow automation
Commercial Reporting
- Automated performance commentary
- Trading summaries
- P&L interpretation
- Sales and margin alerts
- Executive dashboards
- Exception reporting
Commerce 360 AI & Automation Diagnostic
Find the opportunities worth pursuing before investing in technology.
A focused assessment across five areas, ending in a clear view of what to do first.
01
Commercial opportunity
Where is revenue, margin or productivity being lost?
02
Data readiness
Is the required data accurate, accessible and usable?
03
Technology readiness
Can current systems support the proposed use case?
04
Use-case prioritisation
Which opportunities offer the best balance of commercial impact, cost, complexity, data readiness, risk and time to value?
05
Implementation roadmap
What should happen first, what should wait and what capabilities or partners are required?
AI maturity
From ad hoc use to embedded capability.
Stage 1
Explore
AI use is ad hoc and individual.
Stage 2
Prioritise
Business use cases are identified and assessed.
Stage 3
Pilot
Selected use cases are tested.
Stage 4
Integrate
AI is connected to business systems and workflows.
Stage 5
Scale
AI is embedded into operating processes and decision making.
Roadmap
A phased approach
0–90 days
Productivity & Insight
- AI-assisted reporting
- Content support
- Research
- Meeting summaries
- Internal workflows
3–6 months
Customer & Commercial Use Cases
- Customer service
- CRM
- Personalisation
- Product content
- Trading insights
6–12 months
Integrated Automation
- Forecasting
- Replenishment support
- Commercial decision tools
- Workflow automation
- Cross-system integration
12+ months
Advanced / Agentic Use Cases
- Automated decision workflows
- Multi-step AI agents
- Connected merchandising automation
- Advanced personalisation
Actual sequencing should depend on business value, data readiness, risk and technology capability.
Decision framework
Should AI be used here?
For every potential use case, assess six questions.
01
Commercial value
What revenue, margin, cost or productivity benefit could be created?
02
Data
Is appropriate data available?
03
Process
Is the existing business process clear enough to automate?
04
Technology
Can current systems support the use case?
05
Risk
What customer, legal, security or reputational risk exists?
06
ROI
Is AI actually the best solution?
Use AI only where the answer supports the business case.
Specialist delivery where needed
Not every AI opportunity should be built in-house.
Commerce 360 can help identify the right implementation approach and, where required, work with specialist technology, data or automation partners. Commerce 360 remains focused on the commercial objective, business case, priorities and delivery outcomes.
What Commerce 360 can lead
- AI opportunity assessment
- Business case development
- AI use-case prioritisation
- Data and technology readiness assessment
- AI roadmap development
- Vendor evaluation
- Programme leadership
- Commercial requirements
- Change management
- Benefits measurement
- Implementation oversight
Specialist technical support may include
- Data engineering
- Custom AI development
- Model training
- Complex system integration
- AI architecture
- Advanced machine learning
- Enterprise security design
- Custom agent development
Delivered through a controlled partner model, with Commerce 360 retaining ownership of priorities and outcomes.
Governance
Responsible AI
AI should improve decision making, not remove appropriate accountability. Commerce 360 encourages clear governance, human oversight and appropriate controls as AI becomes embedded into business processes.
- Data privacy
- Security
- Human oversight
- Accuracy
- Bias
- Intellectual property
- Customer transparency
- Governance
- Appropriate approval controls
AI should solve a commercial problem.
Commerce 360 helps retailers and consumer brands identify where AI and automation can improve revenue, margin, productivity and customer experience. We assess the opportunity, prioritise practical use cases and create a phased roadmap — working with specialist technical partners where required.
Discuss an AI Opportunity
Commercial first. Evidence over opinion.