Use case · Retail

One retail network, one set of data.

One brand, a network of flagship or franchise stores, one catalogue. Follow the same data from the shop owner’s phone to the brand’s dashboard, from the online storefront to the orders.

Nine interactive tabs, one for each step the data takes: follow them in order or jump to the one you need.

Use case · Retail

The scenario

Cicli Venturin, Brand Store in Treviso. Part of the stock updates itself from the store management system; the owner checks the rest by eye, walking round the shelves.

The management system does its part
Bikes recorded at the till and in the stockroom sync into KYKLOS on their own, with nothing to touch.
The rest is checked by eye
Display bikes, second-hand, last-minute arrivals: the owner walks round the store, phone in hand.
One tap and the bike is available
He sees the Aurea 8 in size M hanging in the window and taps “In store”. No field to fill in, no “save”.
The website knows at once
Availability on the store’s website changes in the same instant: anyone looking for that bike online finds it in store in Treviso.

Try it: tap a button on the phone, then open tab 8 to see phone and storefront side by side.

emporion.eurekabike.it · network dashboard

The scenario

Brand Italy, sales management. Ten Brand Stores in Italy, each with its own management system or a phone. One dashboard to run them all.

One catalogue, published once
Models, product pages and photos for the new model year arrive already normalised: management publishes them and they appear in every store.
One network price list
The same price in store and online, across the whole network. A store cannot change it.
Clear rules for everyone
Store stock first, then the central warehouse: every online request goes to the store that has the bike.
The network under control
Who updates from the management system, who from the phone, how many bikes are in store right now: all on one screen.

Try it: open “Stores” in the dashboard and click a store to see its stock.

brandstore-treviso.it

The scenario

A customer is looking for a road bike. She opens the Cicli Venturin website: every bike says whether it is in store right now, and the product pages are complete from day one.

The green dot tells the truth
It is the stock kept up to date by KYKLOS, from the management system or the store’s phone: if the green dot is there, the bike really is in store.
Only what is there
With “Only available in store” she sees just what she can try and take home today, size by size.
Product pages ready from the brand catalogue
Photos, specifications and list prices arrive ready: the store has nothing to upload.
Consistent across the network
The same product, the same price and the same information in every store of the network.

Try it: turn on “Only available in store” or open a product to see its description, specifications and availability size by size.

brandstore-treviso.it

metis.eurekabike.it · Cicli Venturin

The scenario

The owner of Cicli Venturin, at the end of the day. He opens METIS and sees what happened online for his store: orders, enquiries, campaigns.

Orders and reservations in one place
Every storefront order arrives with its size, payment and where it ships from: the store or the central warehouse.
Customer enquiries
Test rides, availability of a size, bike fitting: enquiries land here, ready for a call back.
The store’s marketing
Ads, social, searches and website traffic: what brings customers into the store, in simple numbers.
Only his own numbers
The retailer sees his own store’s data; the brand only receives the network’s aggregate metrics.

Try it: open an order or switch to the Enquiries and Analytics pages from the dashboard menu.

Sitting on decades of data
that will not talk to itself?

That is the problem we work on. Tell us what you have and what you want to get out of it: we will tell you honestly whether it makes sense — and you will probably be surprised, quite soon, by how much a well-built instrument can surface from data you have been sitting on for years. You will see and measure patterns you would never have guessed were there.

Write to us →

One retail network, one set of data.

Sitting on decades of datathat will not talk to itself?

Sitting on decades of data
that will not talk to itself?