Your buyers shouldn't have to remember what to reorder.
MingCommerce reads the order history you already have and predicts what every account needs next — the right SKU, the right quantity, the right week. Your team stops guessing, and nothing sits dead in the warehouse.
Works with your existing ERP. No replatforming required.
Three things we figure out for you.
Distribution runs on knowledge that lives in people's heads — who buys what, how often, and what they forgot last time. We turn that into something your whole team can use.
Replenishment timing
We learn each account's consumption rhythm and flag them the week before they run short — not the week after they call you annoyed.
Cross-sell that fits
Recommendations are drawn from what comparable accounts actually reorder, so your reps pitch things buyers were going to need anyway.
Assortment & dead stock
See which SKUs earn their shelf space and which have quietly stopped moving, broken out by region, channel, and season.
“The order history was always there. We just never had the time to read twelve thousand invoices and notice the pattern.”— What we hear in almost every first meeting
Connected in a week. Useful in a month.
No data science team required on your side. If you can export a CSV of past orders, you have everything we need to start.
Connect your data
We ingest order history, the product master, and inventory levels — through an API, a database replica, or a scheduled file drop. Whatever you already have.
We fit the models
Each account gets its own demand curve. We backtest against the last twelve months and show you the accuracy before anything goes live.
Recommendations where you work
Delivered to your sales dashboard, your rep's phone, or straight into the ERP as draft orders a human approves. Your call.
Built by people who ship production systems.
MingCommerce is a software company based in Goyang, in the Seoul metropolitan area. We build applied AI for commerce operations — the unglamorous, high-volume decisions that get made thousands of times a week and are almost never optimized.
Your data stays yours
Encrypted in transit and at rest, isolated per customer, and never pooled across clients to train a shared model.
Answers you can audit
Every recommendation shows the history behind it. A rep can see why before they pick up the phone.
Measured, not assumed
We report lift against a holdout group. If the model isn't beating your current process, you'll know it from us first.
Let's look at your order history together.
Send us a sample export and we'll come back with what we found in it — before you commit to anything.
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Contact
Lee Jung-hwa
Representative - Email admin@mingcommerceai.com
- Phone +82 10-2556-4072
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Office
430beon-gil, Hosu-ro, Ilsandong-gu
Goyang-si, Gyeonggi-do, Republic of Korea
경기도 고양시 일산동구 호수로 430번길 - Hours Mon–Fri, 09:00–18:00 KST
Book a demo
Tell us what you distribute, roughly how many accounts you serve, and which ERP you run. We'll reply within one business day with a time.
Email Us