Customer Support and Voice AI
AI receptionist for small business: calls, bookings and handoffs
What an AI receptionist does on a real call, the rules that apply, a sample greeting and a pass/fail checklist to launch one safely.
Front Line
AI Customer Support Agent for Retail
Order, loyalty and returns questions resolve consistently whether a customer messages from your website, app or in-store, across every channel.
Retail customers move between your website, app and stores, and they expect the same answer wherever they ask. This edition answers order, loyalty-program and returns questions from your POS and ecommerce data, so a customer who bought in-store and asks online gets the right reply. Exceptions go to your team with the full purchase history attached.
- One consistent answer across website, app and stores
- Order, loyalty and returns questions answered from live data
- Exceptions passed to your team with the full purchase history
$7,400
20–30 working days
Optional maintenance $370/mo
What it is
AI Customer Support Agent for Retail answers order, loyalty-program and returns questions consistently whether a customer reaches out from your online store, app or a physical location, using your POS and ecommerce data. Customers get the same accurate answer on every channel, and exceptions reach your team with the full history.
Why businesses buy it
When online and in-store teams give different answers, customers lose trust quickly, and returns become arguments. Keeping every channel consistent by hand is hard, especially in peak season. This edition answers from the same POS and ecommerce data everywhere, applies your policies the same way every time and frees store and service staff for the customers in front of them. The scope lists the channels, systems, policies and handoff rules before you order, so you know exactly what it handles and where your team takes over.
Problems this solves
Customers hear different returns answers online and in store
Returns questions are answered from the same POS and ecommerce data. It makes no difference whether the customer starts online, in the app or in store. The Retail workflow template keeps every answer tied to one policy.
Loyalty point questions take staff time at every location
Loyalty-program questions are answered from your connected systems, so customers can check points and rules without queuing. Disputes and exceptions go to your team with the full history attached.
Order questions from in-store pickups get lost between teams
Order-status questions are answered from live order data across your channels. If an order needs a person, the agent hands it over with the history, so nobody asks the customer to repeat themselves.
A good fit if
Customers ask the same order, stock or loyalty-points questions whether they shopped online or in one of your stores, and answers vary by who picks up.
You want click-and-collect status and in-store stock questions answered from real data instead of a customer calling the store directly.
You run a loyalty program and get regular questions about points balances, tier status or reward redemption.
You need returns and exchanges handled the same way regardless of which channel the original purchase came through.
Not the right fit if
You're a pure subscription or replenishment D2C brand with no physical stores or POS system. See AI Customer Support Agent for Ecommerce & D2C, built around that model.
You only need a basic store-hours FAQ answered with no order or loyalty actions attached. See the base AI Customer Support Agent, which is narrower.
You need coverage across more than two connected systems, more than one language, or a full omnichannel inventory sync. Add a note at checkout for a Change Quote, or use our Custom AI enquiry form.
Your questions are mostly about reservations and food orders rather than retail purchases. See AI Customer Support Agent for Restaurants & Food, which is built for that.
How it works
- Your policies and product catalog become its only source. Return windows, loyalty-tier rules and store FAQs, up to 100 documents, reviewed and approved by your team before launch.
- Order and stock questions are answered from connected POS and ecommerce data. Whether a customer bought online or in-store, it pulls the real order status or stock level instead of a generic estimate.
- Click-and-collect is handled end to end. A customer asking if their order is ready gets the actual pickup status, and can reschedule the collection window inside your rules.
- Loyalty questions are answered from your program data. Points balance, tier status and reward eligibility, connected to your loyalty or CRM system, so the answer is accurate rather than approximate.
- Returns and exchanges follow one written policy across channels. Whether the original purchase was online or in a store, eligibility and the resolution path stay consistent.
- Coverage is proven against 50 scenarios pulled from real cross-channel tickets before launch, so it's tested on how your customers actually shop, not a single-channel assumption.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- Admin access to your POS or inventory exports and ecommerce platform, sandbox or test data if available.
- Your return, exchange and loyalty-program rules across channels.
- Ten real order, stock or loyalty messages showing how customers typically ask.
- The approver named for exceptions outside standard return or loyalty policy.
- Your click-and-collect scheduling rules and store locations covered.
- Admin access and API keys for every connected system, shared by adding our team as a user or creating a key you control, never by email.
- Your business information (company basics, hours and brand voice), shared during intake.
- One decision-maker who can approve the finished playbook.
- A rough count of your current help articles, FAQs and saved replies, so we can check there is enough source content to answer from.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Intake verified, catalog and cross-channel policy agreed.
Weeks 1–2
Knowledge base built, POS and ecommerce platform connected.
Week 3
Loyalty and click-and-collect workflows tested.
Weeks 3–4
50 retail-specific test scenarios run and reviewed with you.
Week 4
Your review and two rounds of changes.
Go-live
Live, recorded handoff session, 30 days of support starts.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $7,400 |
| Express | 15–25 working days | $8,500 |
| Rush | 10–20 working days | $9,600 |
What you receive at handover
- The Retail support agent live on one agreed channel, connected to up to two systems such as your POS and ecommerce platform
- Retail intent library and workflow templates, as up to six workflows with your approval rules
- Test report covering 50 documented retail scenarios
- Admin guide plus the recorded 60-minute handoff session
- 30 days of post-launch support
Expected benefits and how to measure them
- Customers can get the same answer on returns and loyalty wherever they ask.
- Store staff can spend more time with shoppers and less on routine questions.
- Exceptions reach head office with context, which can shorten back-and-forth.
- Repeat contacts per order
- From your helpdesk, count orders with more than one customer contact. Compare four weeks before launch with four weeks after.
- Returns and loyalty questions resolved without a person
- Use the agent's conversation tags to count resolved returns and loyalty questions each week after launch. Set this against the volume staff handled before.
- First reply time
- Take the average first reply time from your helpdesk or chat tool. Compare the month before launch with the month after.
Before you start: Record a month of returns and loyalty enquiries by channel, plus your current first reply time and repeat-contact count.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build price is one-time. Running it costs roughly $50 to $250 a month in your own accounts for AI model usage and hosting, on top of your existing POS or ecommerce plan.
AI usage during the build and testing is billed the same way, in your own accounts, so every provider relationship stays yours.
Ask about running costsCustom requirements
If you need a full omnichannel inventory sync, coverage across more than two systems, or support in more than one language, add a note at checkout for a written Change Quote. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
After launch, monthly maintenance keeps the build current as your business changes. It covers monitoring, fixes, updates, a health report and change hours for things such as a new loyalty tier or a seasonal return policy. It starts after the post-launch support period, bills monthly and can be cancelled any month. Unused hours do not roll over.
$370/mo (5% of the build price a month, includes 3 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A helpdesk AI add-on bills per resolution or seat monthly | A retail-support agency quotes a staffing retainer | Ours is one fixed price, shown on this page before you buy |
| Cross-channel data | A generic add-on usually only sees the online store | An agent checks each system manually | Ours reads both POS and ecommerce data for one consistent answer |
| Loyalty questions | Most add-ons can't see live points balances | Depends entirely on which agent handles the chat | Ours answers points, tier and reward questions from your live program data |
| Delivery | A widget can turn on in a day but needs weeks of tuning | An agency usually takes weeks to hire and train | Ours has a fixed delivery time shown before you buy, with faster options |
Questions about this product
Can AI Customer Support Agent for Retail answer a return question the same way whether I bought online or in-store?
Yes. It's trained on one written return and exchange policy that applies across channels, so eligibility and the resolution path stay consistent regardless of where the original purchase happened. This is one of the biggest complaints retailers hear, and this edition is built specifically to fix it, so customers get the same answer at the counter as online.
Does AI Customer Support Agent for Retail know real-time stock levels for click-and-collect?
Yes, from your connected POS or inventory export. A customer asking if their click-and-collect order is ready gets the real pickup status, and can reschedule the collection window inside the rules your playbook sets. If stock data isn't available for a specific location, it says so rather than guessing.
Can AI Customer Support Agent for Retail answer loyalty-points and tier-status questions?
Yes, connected to your loyalty or CRM system with read access. A customer asking about their points balance, tier status or reward eligibility gets the actual number, not an estimate. Anything involving a manual points adjustment or a disputed redemption routes to the approver you name, keeping loyalty answers trustworthy for your most active shoppers.
What does AI Customer Support Agent for Retail cost to run each month?
Roughly $50 to $250 a month in your own accounts for AI model usage and hosting, on top of your existing POS or ecommerce plan. You pay these directly to each provider. Monthly maintenance is optional if you want ongoing changes made for you.
How fast can AI Customer Support Agent for Retail go live?
Delivery follows the fixed timeline shown in the delivery panel, counted from a verified intake. Express and rush options are available for a fee. The clock starts once your POS access, ecommerce access and policies are confirmed, so a complete intake is the best way to keep the build on schedule.
How many store locations does AI Customer Support Agent for Retail cover?
The base build covers your business as a single connected data source, whether that's one flagship store or a chain sharing a common POS and inventory system. Coverage for separately managed regional systems or a full omnichannel inventory sync beyond that is scoped as a Change Quote before work starts.
Is customer purchase and payment data handled securely by AI Customer Support Agent for Retail?
Yes. Every POS and ecommerce credential is shared by adding our team as a user or creating a key you control, never sent by email, and it only reads or writes within the access limits your playbook defines. Order history and conversation transcripts stay stored in your own POS and ecommerce accounts, not with us, so nothing leaves your own systems.
Guides on this topic
All guides One consistent answer, whether a customer is online or in-store.
Order the AI Customer Support Agent for Retail and give customers one consistent answer, online or in-store. Channels and policies are agreed in writing before you pay.
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