Resolve product enquiries
Resolve product enquiries using the current shopping conversation and its supporting records.
SHOPPING CONVERSATION / PRODUCT REQUIREMENT / PURCHASE OUTCOME
AI agent for conversational commerce teams
Help the customer choose, then carry the purchase through.
Resolve product enquiries, guide suitable purchases and follow sales conversations—carried through by an autonomous AI agent that adapts to your work.
A specialised AI agent you can ask for more. Chat here on the site.
$249.00/month, including $50.00 in monthly credits. Monthly subscription. Before tax.
Specialised AI agentYour own report presetNo connection needed to begin
Shopping conversation workbenchSPECIALIST / 1087
YOUR SPECIALISED AI AGENT
One place for resolve product enquiries, guide suitable purchases, follow sales conversations.
MADE FOR YOUR WORKDAYStart with work already on your desk
Your first useful assignment.
Share the relevant records in your regular Teams chat and give your specialist an outcome. No model or tool choices to make first.
Get my AI agent →YOU COULD ASK
“Work through the pre-purchase chat queue, answer compatibility questions and follow ready customers through their purchases.”
- Resolve product enquiries
- Guide suitable purchases
- Follow sales conversations
A useful first result
An editable shopping conversation and purchase outcome register with traceable references, resolved discrepancies and specific next actions.
Example assignment, not a promised delivery time. Your agent works from the records and access you provide. Add connections when you want it to act in other systems.
A conversation at your desk
Work through the pre-purchase chat queue, answer compatibility questions and follow ready customers through their purchases.
This example shows an established working setup: the agent already knows the business and has the records and connections listed below. Hand over the assignment and it carries the work through to saved results.
Illustrative project · configured agent at work
A configured agent with your shopping conversation, product requirement, purchase outcome records, current commitments and the connected accounts used to guide suitable purchases.
- Resolve product enquiries
- Guide suitable purchases
- Follow sales conversations
A working specialist can handle the project, with a configured team sharing the work where available. This is an example of what you can build up to, not a first-launch conversation. Timing and usage depend on the assignment.
- You · Conversational commerce teams
Work through the pre-purchase chat queue, answer compatibility questions and follow ready customers through their purchases.
- Your AI agent · AI Agent Store
Several shoppers need dimensions not shown in the catalogue. I am finding the product specifications while progressing fully supported recommendations.
Work in progress - You · Conversational commerce teams
Use our current prices and never treat a cart as a completed purchase.
- Your AI agent · AI Agent Store
Completed purchases have matching order records, answered enquiries retain their product evidence and unresolved compatibility questions remain tracked. Your working files and dashboard reflect the recorded outcomes.
Later · delivery and saved results
SHOPPING CONVERSATION / PRODUCT REQUIREMENT / PURCHASE OUTCOME
A working brief for your AI agent.
Use current product information, inventory access, commercial terms and customer preferences. Keep recommendations tied to stated needs and confirm order outcomes through connected commerce records. Your specialist maintains these working records in regular Teams as the assignment develops.
AI
Your AI agentPrepared for conversational commerce teams
Shopping conversation and purchase outcome registerEXAMPLE, NOT LIVE ACTIVITY
An example record for shopping conversation, product requirement, purchase outcome, product checks.
01Shopping conversation02Product requirement03Purchase outcome
The useful next step
Resolve product enquiries
Resolve product enquiries using the current shopping conversation and its supporting records.
The details your specialist follows
Working records for conversational commerce teams
Follow each shopping conversation through the working record. The example below shows how references, dependencies and resolutions stay together, so you can trace what changed and what happens next.
Keep an eye on: changes in product requirement, missing purchase outcome evidence and unresolved shopping conversation dependencies.
Illustrative working document · your records start empty
| Shopping conversation | Dependency to follow | Evidence of completion |
|---|---|---|
| OPPORTUNITY061-104 | Resolve product enquiries | Product questions resolved |
| OPPORTUNITY061-118 | Guide suitable purchases | Purchase follow-ups completed |
| OPPORTUNITY061-126 | Follow sales conversations | Sales response windows met |
Active shopping conversation records3
Product checks across the planned work260 product checks
Outcomes with supporting evidence2
Illustrative project figures. Your agent maintains working records in normal Files and Tasks and reports completed work in Teams Dashboards. Ask it to adapt those records and reports as your workflow changes.
From enquiry to a useful next step
Shopping conversation and purchase outcome register. Your way of working.
01
Brief and source records received
Add a job reference and the details you already know.
02
Resolve product enquiries
Shopping conversation and Product requirement, ready to check.
03
Guide suitable purchases
Give your specialist the outcome and let it carry the work forward.
04
Outcome evidence verified
Keep working records in Files and Tasks.
05
Follow sales conversations
Keep the job and its next steps together.
Ask your specialist to maintain your working records in Files and Tasks and adapt the reports in Teams Dashboards. These are the regular platform tools, prepared for your business. Connections to other systems are optional.
A small tool for a real job
Product checks across the planned work. Before the back-and-forth.
Watch for changes in product requirement, missing purchase outcome evidence and unresolved shopping conversation dependencies. Investigate the cause, carry useful follow-through to completion and improve the saved method when it helps.
Try the numbers, then bring the confirmed brief to your specialist. Start with a reference such as “Job 104”—you do not need to upload your customer database.
- Shopping conversation
- Product requirement
- Purchase outcome
- Product checks
Try your own numbers
Product checks across the planned work
Planning arithmetic from your inputs. Your specialist can turn the confirmed details into a working brief. This is not a quote or capacity commitment.
Built around the details that matter
Resolve product enquiries. With the right questions already in mind.
Pre-purchase product conversations, distinct from post-purchase customer service and broader ecommerce growth analysis.
Guide suitable purchases
Guide suitable purchases while keeping product requirement changes traceable.
Follow sales conversations
Follow sales conversations with checked purchase outcome evidence and editable working files.
Prepared for your business
The numbers behind your ai agent for conversational commerce teams.
Six useful measures, ready in your regular Teams dashboard. Your specialist keeps them up to date from the real work and records it can access. Ask it to change a measure, add a report or investigate what is behind a result.
Recorded cases · outcomes
Sales conversations completed
What this measures
Count one distinct observed outcome for “Sales conversations completed”, linked to its shopping conversation and stable completion-event ID. Use the real completion timestamp and supporting purchase outcome reference. Pending, merely promised, repeated and illustrative outcomes do not count. Revisions or corrections replace the original event rather than creating duplicate completions.
Recorded cases · outcomes
Product questions resolved
What this measures
Count one distinct observed outcome for “Product questions resolved”, linked to its shopping conversation and stable completion-event ID. Use the real completion timestamp and supporting purchase outcome reference. Pending, merely promised, repeated and illustrative outcomes do not count. Revisions or corrections replace the original event rather than creating duplicate completions.
Recorded cases · outcomes
Purchase follow-ups completed
What this measures
Count one distinct observed outcome for “Purchase follow-ups completed”, linked to its shopping conversation and stable completion-event ID. Use the real completion timestamp and supporting purchase outcome reference. Pending, merely promised, repeated and illustrative outcomes do not count. Revisions or corrections replace the original event rather than creating duplicate completions.
Average · hours
Shopping enquiry received to substantive answer
What this measures
Measure “Shopping enquiry received to substantive answer” in elapsed hours using the actual start and end timestamps for the same shopping conversation. Store one duration per completed observation with source references and timezone. Exclude pending cases, missing timestamps, reversed intervals and illustrative values. Never substitute a current status or sum recurring snapshots.
Observed rate · %
Sales response windows met
What this measures
Completed commitments assessed for “Sales response windows met”, linked to stable shopping conversation references. Numerator: on_time; denominator: on_time plus late from the same assessed population. Classify each observation once and preserve failures. Exclude pending or unknown cases, unassessed records and illustrative values. Compare actual completion with the original agreed deadline and timezone; never move the deadline to improve the result. Corrections replace the original event instead of counting twice.
Observed rate · %
Recommendations matching stated requirements
What this measures
Completed assessments for “Recommendations matching stated requirements”, linked to stable shopping conversation references. Numerator: passed; denominator: passed plus failed from the same assessed population. Classify each observation once and preserve failures. Exclude pending or unknown cases, unassessed records and illustrative values. Apply the documented requirement or acceptance checklist and retain the actual supporting evidence; do not infer a pass from an administrative status. Corrections replace the original event instead of counting twice.
Your reports start empty. Figures reflect observed work in the selected period; missing records are not treated as measured zeroes. Current jobs, schedules and stock stay in your working files and tasks. You and your agent can adapt the dashboard as your business changes.
Keep the tools that already work
Specialised in your trade. Open to your next idea.
Your AI agent starts with the details of your business already in mind. The three workflows are starting points. Ask it for help with another task in the same conversation.
An AI agent prepared for your business
The starting instructions, intake questions and working rules already match conversational commerce teams. Add your service list and one example of your tone when you are ready.
Give your agent the whole job
Give your agent an outcome, the access it needs and your budget. It handles routine decisions and follows through in your connected tools, asking when a missing business decision needs you. Set or change your own boundaries whenever you want.
Ask beyond the starting workflows
Your agent can take on a new assignment, build a new workflow, improve its saved methods and adapt its dashboard as your needs evolve. The starting examples do not limit its capabilities. Give your agent another task in plain language. What it can carry out depends on the tools you connect and the access you choose.
Recommended starting plan
Your AI agent for conversational commerce teams.
Begin with one specialist and a report preset for your business. After setup, your regular Agent Teams conversation opens. No tool selection before your first conversation.
$249.00/month
Capacity for 1 running agent · hosting throughout the month
Start my AI agent →A clear starting total
Your Agent plan is $199/month with hosting included. This recommended offer adds $50 in monthly Platform Credit funding, for $249/month.
$249.00 before tax today and monthly, including $50.00 in monthly Platform Credit funding.
Credits offer an easy start and unused credits roll over. You can switch to your own subscriptions or API keys anytime, with no Platform Credits needed for that AI work. Hosting is included within your agent’s resource allocation. Optional voice and other services use credits.
Hosting availability is checked before payment. Create your account, confirm your monthly subscription, then start chatting when your specialist is ready. Your instructions and dashboard are prepared automatically after payment.
Other plans and connection options →
Prefer your own AI accounts? Choose a plan without the extra $50 monthly credit funding using the options above. Changing AI access alone does not remove that funding. Automatic top-ups start off; buy credits or set top-ups and spending limits when needed. Keep the full Teams controls for models, connections and supported settings.
Before you begin
An AI agent for conversational commerce teams.
How does the agent keep shopping conversation work accurate?
Use current product information, inventory access, commercial terms and customer preferences. Keep recommendations tied to stated needs and confirm order outcomes through connected commerce records. It keeps source references with the working files, checks the result and follows up on discrepancies. Ask it to adjust the method or report whenever your needs change.
Is this only for the three tasks shown?
No. This is an AI agent specialised for conversational commerce teams, with three prepared workflows to get you started. You can ask for writing, research, planning, analysis or another task in the same chat. It can make routine decisions and carry the work through using available tools. You set its boundaries; it asks when a real business decision or missing access needs you.
What happens after I subscribe?
After payment, we prepare your AI agent for conversational commerce teams, its workflows and your shopping conversation and purchase outcome register dashboard. Your regular Agent Teams chat opens when setup is ready. Files, Tasks, settings and billing work the same as for other customers. Reports start empty and count actual reported work; the examples above are illustrative.
Do I need to connect email or messaging?
No. Prepare your first brief and draft here. Connect external channels later when you want the specialist to work there.
Does this replace my existing business software?
Use it alongside your current tools for preparing work and organising jobs. Live stock, availability, sending and payment records require a verified connection or your own confirmation.
Choosing for a different business?
Compare the working records and business types each specialist is prepared for.
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