Returns eating your margin?
The assistant checks the size from the product description, confirms colour and fabric, offers matching add-ons — before the parcel leaves the warehouse.
Sample results from fashion-brand pilots. The implementation story is below.
Order confirmation for cash on delivery and paid orders.
The assistant calls right after the order, checks the address and confirms the delivery time. Fewer rejected parcels and fewer complaints in the very first week.
- ✓Cash-on-delivery check — confirms the customer still wants the parcel
- ✓Delivery address check and whether the customer will be home in the courier window
- ✓Shipping date and return rules given straight away
- ✓Skipping marketplace orders — Amazon, eBay and other marketplaces detected automatically
Simple add-ons in the call.
The assistant asks one good question at the right moment. About 32% of customers say yes.
Better version of the same
Bigger set
Matching product
20–30% of fashion orders come back to the warehouse.
Wrong size, a different colour than in the photo, parcel not collected. Every return costs 15–40 zł in logistics plus the lost margin — about $600k a year for a store with $8M in sales.
- ✕Size does not fit — 52% of returns
- ✕Different colour than in the photo — 18%
- ✕Fabric quality — 14%
- ✕The customer changed their mind — 9%
- ✕Other — 7%
* Industry data: fashion e-commerce 2024–2025
Size check in the call.
The assistant asks about height and build, checks the size chart from the product description and suggests the right size before shipping. After rollout there are 42% fewer returns.
Every part of the purchase under control.
Order, size, care — the assistant uses your catalog and answers with data from the product description.
Matching add-ons for the order
It pairs the blazer with a shirt, shoes and a bag from your catalog, by the rules you set. No style advice.
Size check
The assistant asks about height and build, then checks the size chart from the product description — before the parcel leaves the warehouse.
Care info from the product description
Silk, wool, cashmere — the assistant reads from the description how to wash, dry and store it, and tells the customer on the call.
Seasonal offers from your catalog
Spring, summer, autumn, winter, Black Friday — the assistant offers products from the current collection by the rules you set in the panel.
Memory of earlier orders
On the next order the assistant offers matching products from your catalog, by your store's rules. No style advice.
Measurable impact on margin.
The highest return in fashion.
A brand that turned returns into revenue.
The assistant checks the size on the call. Returns dropped 42% and basket value grew by a third thanks to matching add-ons.
* Sample result from deployments in premium fashion stores. Brand names anonymized.
A plan for every store size.
Growth
For growing fashion brands
5,000 credits / mo · ~100 calls · buy more anytime
- ✓Your store connected · 1 market
- ✓Size check from your catalog data
- ✓Matching add-ons and seasonal offers
- ✓Orders and products pulled from your store
- ✓Credits added automatically
- ✓Up to 2 calls at once
Scale
For chains and luxury brands
15,000 credits / mo · ~300 calls · 2,000 carry over
- ✓Everything in Growth +
- ✓Stronger suspicious-order detection (provider signals and your store's rules)
- ✓Recording and analysis of every call
- ✓Knowledge of the collection (seasonal offers)
- ✓Call quality review [Enterprise — rolled out individually]
- ✓Priority email support
- ✓Up to 5 calls at once
Your fashion storewithout a wave of returns.
1,000 trial credits (about 20 calls) · full access to your chosen plan · cancel anytime.
Card required · no charge during the trial · the plan starts on day 8