Use cases — Product advice
Respond before purchase, not after abandonment
An unanswered question on a product sheet is a lost basket. The agent knows your catalog and resolves doubts the moment they appear.
Store assistant
Responds in seconds
I'm 1m78 and 72kg, I usually take M. How does the coat fit?
This model is cut quite close to the body and is designed to be worn over a sweater. With your size, the L will be more comfortable if you plan to layer, otherwise the M fits just right.
And it comes in navy blue?
Yes, in L there are 4 pieces left in navy, shipped tomorrow. In M, the navy is in restock for the 12. Can I give you the link to the correct variation?
Before
The situation today
A visitor hesitates between two references. He looks for the answer in the product sheet, doesn't find it, opens the contact form... or closes the tab. You'll never know how many sales are lost exactly there: pre-sales questions rarely reach you, and when they do, it's often too late.
After
What you get back
- Pre-sales questions are answered the moment they arise
- No recommendation on an unavailable product
- The size guide is actually used, reducing returns for size errors
- You finally see what is blocking the purchase, pattern by pattern
How it works
What the agent does, step by step
- 1
Understand the need
The agent asks two or three useful questions — usage, morphology, compatibility — instead of listing the catalog.
- 2
Search your catalog
Attributes, size guide, data sheets, actual stock: it only recommends what you can deliver.
- 3
Recommend and justify
He offers one or two references, explains why, and points out the difference in price or delivery time. The customer decides with full knowledge of the facts.
- 4
Complete the cart
Indispensable accessory, consumable, guarantee: the agent mentions it when it is relevant, without turning the conversation into an argument.
What the agent doesn't do
The agent does not promise discounts or negotiate prices. If you want him to offer a promotional code, you explicitly authorize him to do so, with his conditions.
What's in it for you?
The time you could recover at this volume
Assuming that one in five orders (20%) generates a support request, this represents 100 requests per month.
Applied to all of your orders, this increase represents 25 additional orders per month.
Avoided support costs
€163 / month
≈ 5.8 hours recovered, from 50 requests handled without you
Additional revenue
€1,625 / month
+5% conversion uplift across 500 orders, at your stated average order value
What you pay
€40 excl. VAT
plan Croissance, for your 100 requests, including overage
The value you gain each month
+€1,748
Assumptions for scenario “Conservative”: 50% of requests absorbed by the agent, and 7 minutes of human processing per request to €28 per hour loaded. This scenario “Conservative” is the one proposed by default, and the difference remains favorable.
The subscription cost is calculated for all your requests, including those the agent cannot resolve alone. Conversations taken over by a person are not actually counted, so the displayed amount is a maximum.
You set the conversion uplift: we cannot know it for your store. It applies to all 500 monthly orders you entered, rather than just orders that start with a support ticket: product advice benefits the whole store.
Additional revenue is turnover, before margin.
The time returned is not a salary saving: it is time to reinvest elsewhere.
Other use cases
On which platform?
Your agent can respond to your first client tonight
Ten minutes to connect it to your store, and the first twenty-five conversations of each month are free. No commitment, and you cut whenever you want.