Finding takes all the time
Checking what will sell means looking through demand and competition channel by channel. How many products can be reviewed is bound by how many hours a person has.
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Sourcing automation is finding and validating what will sell, then moving it to sale, handled by data and written criteria instead of repeated manual work.
The problem is not a missing tool but information scattered across tools.
Checking what will sell means looking through demand and competition channel by channel. How many products can be reviewed is bound by how many hours a person has.
Two people looking at the same product reach different calls. When the criteria are not written down, a result cannot be traced back and improved.
Product details, orders and purchase orders are copied from one screen to another every day, and errors enter during the copying.
Cost, shipping terms and stock keep moving. When a person checks periodically, the gap between the change and noticing it is the damage.
Observe, decide, execute, then read the official state back before any of it reaches the criteria. Recording a received response as a success grows the error surface as fast as the automated one. Which layer owns each of the five stages is in the agent runtime.
Sourcing automation is finding and validating what will sell and moving it to sale, handled by data and written criteria instead of repeated manual work. What to buy, on what terms, and where to sell it is decided from observed data and criteria set in advance rather than from instinct.
A tool that gathers product listings shortens the finding step only. Sourcing automation carries the decision through to orders and purchase orders, reads the result back from the official state at the channel and the supplier, and folds that outcome into the criteria. What is missing is the stretch a person has to bridge by hand.
An in-house recommendation system built on market data produces a ranked view of what is worth selling. The ranking never travels alone: the reasons behind it and the evidence not yet confirmed are kept with it.
An always-on agent runtime decides. Writing to a channel or a supplier is done by the commerce system, which holds the permissions and limits. Because the two layers are separate, the automated surface can grow without loosening control over external writes.
Observation, decision and defined execution continue unattended. Changing the criteria themselves, and exceptions that have not been reduced to rules, stay with a person. The goal is not removing people but leaving them only the calls that need judgement.
Yes. Margin is judged first, and only what clears the bar becomes a detail page and goes up against each channel's format. After publishing, the official sale status and price policy are read back. A product carries its own state from candidate through publication and selling, and the check run just before it goes up is the same one a person would apply.
deepeet is a company building an AI sourcing automation system that connects commerce operations — sourcing, listing, orders, procurement, delivery and settlement — into one flow. Enquiries go to contact@deepeet.com.
Coupang, Toss Shopping, Naver, Daangn, Temu are connected, and the range keeps widening. Each channel has its own listing and order format, so they are added in the order those formats are confirmed rather than all at once.
Contact
contact@deepeet.com