AI agents for customer insight & research
3 live agents (Basket Affinity Analyst, Customer Lifetime Value Model, Style Preference Profiler) and 5 on the roadmap: what each does, the data it needs and the questions it answers.
3 agents you can switch on today
Basket Affinity Analyst
Finds which categories are bought together and suggests bundles, adjacencies and cross-sell placements.
Who it's for: Your team (console, API)
Data it needs: Order lines, Products
Tools it uses: read-only SQL over your retail data (sandboxed per workspace)
Ask it, for example:
- "Which categories are most often bought together?"
- "What do customers buy with handbags?"
- "Suggest 3 bundles from basket data"
Customer Lifetime Value Model
Estimates customer value by tier and city from order history to guide retention and acquisition spend.
Who it's for: Your team (console, API)
Data it needs: Customers, Orders, Order lines
Tools it uses: read-only SQL over your retail data (sandboxed per workspace)
Ask it, for example:
- "What is the average customer value by tier?"
- "Which cities have our most valuable customers?"
- "How much more do Club Gold members spend?"
Style Preference Profiler
Profiles customer style clusters from purchases by colour, category and price to guide ranging.
Who it's for: Your team (console, API)
Data it needs: Customers, Orders, Order lines, Products
Tools it uses: read-only SQL over your retail data (sandboxed per workspace)
Ask it, for example:
- "What style clusters do our customers fall into?"
- "Favourite colours by tier"
- "Do Club Gold members buy higher price points?"
Coming next
- Footwear Fit Data Analyst: Analyses fit-related returns by shoe model and size to improve size advice and future buys.
- Survey Insight Summariser: Summarises open-text survey responses into themes, sentiment and verbatim quotes for each audience.
- Net Promoter Driver Analysis: Links NPS scores to journeys, stores and products to show what drives promoters and detractors.
- Shopper Mission Classifier: Classifies trips into missions such as top-up, big shop or gifting to tailor ranges and layouts.
- Conversational Survey Agent: Runs short chat-based surveys with customers and adapts follow-up questions to their answers.
How to turn them on
- Load the data each agent needs (upload, API or, soon, a connector to your e-commerce platform).
- Open Agent catalog in the ServiceBuddy console: agents whose data is present show as ready.
- Install, add your own instructions, and test in the Playground.
Live AI Agent Buddies: Customer insight & research
Customer insight & research
Basket Affinity AnalystFinds which categories are bought together and suggests bundles, adjacencies and cross-sell placements.
Customer insight & research
Customer Lifetime Value ModelEstimates customer value by tier and city from order history to guide retention and acquisition spend.
Customer insight & research
Style Preference ProfilerProfiles customer style clusters from purchases by colour, category and price to guide ranging.
Coming soon: Customer insight & research
Customer insight & research
Footwear Fit Data AnalystAnalyses fit-related returns by shoe model and size to improve size advice and future buys.
Customer insight & research
Survey Insight SummariserSummarises open-text survey responses into themes, sentiment and verbatim quotes for each audience.
Customer insight & research
Net Promoter Driver AnalysisLinks NPS scores to journeys, stores and products to show what drives promoters and detractors.
Customer insight & research
Shopper Mission ClassifierClassifies trips into missions such as top-up, big shop or gifting to tailor ranges and layouts.
Customer insight & research
Conversational Survey AgentRuns short chat-based surveys with customers and adapts follow-up questions to their answers.
Articles about these buddies
Style Preference Profiler: what this AI agent does and how to use it
Profiles customer style clusters from purchases by colour, category and price to guide ranging. Who it's for, the questions it answers, the data it needs and how to swit…
Basket Affinity Analyst: what this AI agent does and how to use it
Finds which categories are bought together and suggests bundles, adjacencies and cross-sell placements. Who it's for, the questions it answers, the data it needs and how…
Customer Lifetime Value Model: what this AI agent does and how to use it
Estimates customer value by tier and city from order history to guide retention and acquisition spend. Who it's for, the questions it answers, the data it needs and how …
Related articles
AI agents for quick commerce & dark stores
1 live agent (Basket Completion Nudger) and 8 on the roadmap: what each does, the data it needs and the questions it answers.
AI agents for it & data
1 live agent (Report Request Assistant) and 8 on the roadmap: what each does, the data it needs and the questions it answers.
AI agents for omnichannel & fulfilment
4 live agents (Reserve and Try Assistant, Collection Order Chaser, Endless Aisle Ordering…) and 5 on the roadmap: what each does, the data it needs and the questions it …
AI agents for brand & creative
3 live agents (Naming and Tagline Generator, Heritage Storytelling Writer, In-store POS Designer) and 7 on the roadmap: what each does, the data it needs and the questio…
AI agents for category management & buying
2 live agents (Category Strategy Writer, Buy Depth Recommender) and 16 on the roadmap: what each does, the data it needs and the questions it answers.
The ServiceBuddy catalogue: 608 AI Agent Buddies for retail
Every use case in the catalogue, grouped by business function and retail segment: 107 live today, the rest on the roadmap.
AI agents for replenishment & forecasting
8 live agents (Safety Stock Optimiser, Phantom Inventory Detector, Seasonal Build Planner…) and 15 on the roadmap: what each does, the data it needs and the questions it…
AI agents for training & internal comms
5 live agents (New Range Briefing Pack, Micro-learning Builder, Role-play Sales Trainer…) and 9 on the roadmap: what each does, the data it needs and the questions it an…
Refund Status Tracker: what this AI agent does and how to use it
Tells customers where their refund is, when it will land and why it might be delayed. Who it's for, the questions it answers, the data it needs and how to switch it on.
Human handover summariser: what this AI agent does and how to use it
Prepares a crisp case summary for a colleague taking over a customer, with the suggested fix. Who it's for, the questions it answers, the data it needs and how to switch…
Modest Fashion Edit: what this AI agent does and how to use it
Curates modest outfits by occasion, fabric weight and coverage preferences from the current range. Who it's for, the questions it answers, the data it needs and how to s…
Endless Aisle Ordering: what this AI agent does and how to use it
When an item is out of stock in store, finds it elsewhere and explains how to get it delivered. Who it's for, the questions it answers, the data it needs and how to swit…

















