Chains · franchises · fashion · home · sports · stores with a website and per-store inventory
“Do you have a size 8 at the Brooklyn store?” Answered in four seconds, with the size on hold.
One WhatsApp for every store. The agent checks real per-store inventory, holds items, takes payment, tells customers when their alteration is ready, and hands the store team whatever needs a person. At 11 PM too.
Ask Sol about a size or store hours like a customer would.
Deva Williamsburg 34 N 6th St · 2 left · open until 9 PM Hold it here 
Deva Atlantic Atlantic Terminal · 1 left · until 10 PM Hold it here Dashboard · today · 20 stores
What slips away today
What gets lost every week without anyone noticing
01
HQ doesn't know what each store has
“Do you have a medium?” gets answered by calling the store, if they pick up. The size that was sitting ten minutes away is lost because nobody knew.
02
When the stores close, nobody answers
Messages from 9 PM to 9 AM pile up. By morning the customer has bought online, somewhere else.
03
Same question, twenty answers
Hours, exchanges, alterations, availability. Each store its own way, with no data, and no way to prove how fast a person actually shows up.
The journey
One number for the whole chain, with every store inside it.
The agent knows each store's inventory and hours; when a person is needed, it's someone from that store.
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01 Asks
Product, size, store
Checks real per-store inventory and answers with what's there, where, and until what time.
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02 Holds
Size on hold, paid or not
Held under the customer's name at the store they choose. Pay in the chat and skip the line.
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03 Picks up
Click & collect and alterations
A message when the order or alteration is ready, with hours and a “coming today” button.
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04 Exchanges
Exchanges and returns across channels
Bought online, exchange in store. The agent knows the order, the window, and where the size is.
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05 Escalates
The person at that store
Charges, complaints, or anything outside your rules go to that store's manager, with the receipt.
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06 Measures
Per store and for HQ
Volume, resolution, holds, time-to-human. Comparable across stores every month.
The life of a conversation
The states every conversation goes through, when a person steps in and how it closes.
What the agent does here
What it gets done, playing by your rules
Inventory
Real inventory by store and size
Connected to your ERP or POS (the connection is validated in the diagnostic). It doesn't say “I think so”: it says how many are left and at which store.
Holds
Hold and pay in the chat
Size held 48 hours and, if they want, paid by card to pick up without a line.
Updates
Alterations, orders, and restocks
When the alteration is ready, when the order lands, when their size is back. With opt-in, no spam.
Knowledge
Hours, policies, and campaigns, current
Each store with its hours and exceptions. Sales and promos from your docs, not from memory.
Handoff
To the person at that store
Routes by store and reason. The manager gets the receipt and a summary, not a half-finished conversation.
Metrics
Every store on the same dashboard
Inquiries, holds, time-to-human, and reasons. What you'd need to prove to anyone, already measured.
A day with the system
An ordinary day at a business like yours, told by the channel itself: what happens while the team works, and while it sleeps.
8:30 AM
Stores open with last night's holds already at the counter: sizes set aside, some paid, all with a name on them.
12:10 PM
Alteration-ready messages go out. Half reply “coming today” and the stores know who to expect.
5:20 PM
A customer wants to exchange boots bought online. The agent finds the order, locates the size at Atlantic, and holds it.
6:05 PM
A double charge. The agent doesn't try to fix it: it hands it to that store's manager with the receipt, and she refunds it in three minutes.
9:30 PM
Stores closed. Forty people ask about inventory, hours, and returns. All answered; twelve sizes on hold for tomorrow.
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8:30 AM
Stores open with last night's holds already at the counter: sizes set aside, some paid, all with a name on them.
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12:10 PM
Alteration-ready messages go out. Half reply “coming today” and the stores know who to expect.
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5:20 PM
A customer wants to exchange boots bought online. The agent finds the order, locates the size at Atlantic, and holds it.
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6:05 PM
A double charge. The agent doesn't try to fix it: it hands it to that store's manager with the receipt, and she refunds it in three minutes.
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9:30 PM
Stores closed. Forty people ask about inventory, hours, and returns. All answered; twelve sizes on hold for tomorrow.
What gets measured
The numbers that go into the monthly report
−55%
repetitive inquiries that reach stores and HQ
24/7
size holds and updates, even with the stores closed
2 min
average time to a person when someone asks for one
Illustrative figures of what the system moves: your pilot's baseline and target get agreed on your data, not these.
Impact calculator
How much is slipping away today?
~400
Conversations without a fast reply each month
With a first reply in seconds, those ~400 conversations stop waiting. How many end in a booking or a sale depends on your business: that is what the pilot measures.
Compliance in your industry
What legal will ask, handled for your case
A person within minutes, measured
Requests for a human are detected from the first message and time-to-human lands on the dashboard. If you operate in the EU, this is what Spain's new customer-service law asks large groups to prove.
It says it's an AI at every store
A clear notice in the first message, no invented names, and a person one message away. Works the same across all twenty stores. Some states already expect it (California, Utah).
Customer and receipt data, minimal
Only what's needed to help: order, receipt, hold. Dedicated infrastructure, a signed data-processing agreement, configurable retention, no training on your customers. CCPA handling is mapped in the diagnostic.
What it connects to
It connects to your ERP, your POS, and your online store.
Per-store inventory depends on what your ERP or POS exposes: we test it for real in the diagnostic before committing to anything. Shopify is in production.
Questions from your industry
What businesses like yours ask us.
We have a contact center. Why this?
The call center can't check the Brooklyn store's inventory or hold a size. This can, and it leaves a documented handoff trail. It coexists with the contact center and takes the repetitive load off it.
One WhatsApp per store or one for all?
Whatever you prefer. The usual setup is one brand number with routing by store: the customer texts one number and the person who helps them is from their store.
Can our ERP expose per-store inventory?
Depends on the ERP. In the diagnostic we run a real inventory read. If there's no usable API, we tell you before anything is signed and find the alternative.
What happens during a sale?
The agent handles hundreds of conversations at once with no temp staff and knows the campaign because it's in your docs. The team only steps in for what's outside the rules.
Other industries
Your industry? See it on your own cases.
Bring three real conversations from your WhatsApp and we'll replay them in the demo.