You keep your own references. kheoos recognizes the parts and keeps the relationship between the kheoos references and the internal references of the member

kheoos recognizes parts regardless of the management systems

By default, your catalogue built by kheoos is searchable online from PC, tablet and smartphone. To integrate the data from our database into your internal system, consult us

The virtual inventory aggregation (or sharing) is virtual. Each member retains its own inventory management, although meeting the stock targets defined with kheoos

The security stock level is a function of the standard deviation of the demand and the lead time. The theory shows that by compiling the requests of 3 voluntary members, the combined stock is 42% lower than the stock of individual stocks

The level of service will be the same. However, in case of shortage, kheoos will organise solidarity between members in order to provide the part to the member in difficulty

You simply provide the list of parts to kheoos, whose algorithms seek information necessary for sale, including descriptions, photos and market prices. When receiving orders on www.market.kheoos.com, kheoos sends you orders and organizes the transport

If you sell to a broker, expect 2 to 5% of the value. With kheoos, you are given an estimate before the sale, which can vary from 10 to 60% of the gross value, depending on your parts

You provide your lists of wanted parts to kheoos, which searches the dormant stocks of its members, as well as the market and send you offers as soon as the references are found.

After verification, you will be able to become a seller on our platform www.market.kheoos.com.

No one will see the details of your prices. Price statistics are shared only in aggregated form (average, median, quartiles...) and only if a sufficient number of data is available

You can follow a particular reference and see if your price is high or low. If you have a lot of references, kheoos tells you on which families you should renegotiate your prices, because the reduction potential is the most important

Buyers, even from large groups, know only their own prices at a given moment. To know their purchase performance over time on all their families, the only way is to share confidentially with kheoos and get in return aggregated statistics

If you are using an ERP, you certainly have abundant but unused data. kheoos helps you to extract the data with the right level of aggregation and to clean them for the learning phase

If you manage thousands of references, in a dynamic environment, the human effort to keep these levels up to date is such that often purchasing decisions are taken when it should be bought later or not at all, resulting in significantly higher stock levels than required

The probabilistic forecast feeds on historical data, but also contextual data. If predictive maintenance suggests changing a part, it must of course be taken into account in the probabilistic prediction algorithm