Orders from three channels. Invoices piling up. Customer emails you haven't gotten to. Pricing that's stale by the time you update it. You started this company to build something — not to be a full-time data entry clerk.
We'll walk through your operations and tell you exactly what's worth automating. No pitch deck.
Our founder runs a B2B e-commerce operation. These aren't hypothetical pain points — they're the problems that kept him up at night before he automated them.
Orders come in from Shopify, Amazon, and vendor email POs. Someone has to pull each one, cross-reference inventory, trigger fulfillment, and send tracking. Every single night. Two hours of mind-numbing work that can't wait until tomorrow.
You have 500, 2,000, maybe 10,000 products. Competitors change prices constantly. By the time you've updated your spreadsheet, half the numbers are already wrong. You're either leaving money on the table or losing the Buy Box.
Vendor sends ~1,000 invoices as PDF attachments. Someone opens each one, finds the PO number, pulls up QuickBooks, compares every line item and price, then creates the bill. Miss a discrepancy and you just overpaid your vendor.
Orders, questions, complaints, damage claims, vendor replies — all in the same inbox. Someone has to read every one, figure out what it is, and draft a response. By the time they're done sorting, half the morning is gone.
Customer sends a photo of a broken shelf. Now you need to dig through Shopify for the order, find the original PO, pull up the vendor's contact, draft a reply to the customer, and draft a separate escalation email. Half an hour, minimum.
Every system below runs in production at our own e-commerce company. 9,500+ products, multi-channel, real orders, real money. This isn't a case study from a client — it's our daily operation.
Orders land in Shopify, Amazon, and email POs from our dropship vendor every night. The old way: someone manually pulled each order, cross-referenced it, marked it fulfilled, and sent tracking info. Two hours of work, every night, no exceptions.
Now one command reads the vendor's email, parses every PO PDF, matches them to open orders across both platforms, triggers fulfillment via Shopify GraphQL and Amazon SP-API, and emails a summary. Done before anyone touches a keyboard.
9,500+ products across Amazon and Shopify. Prices needed to stay competitive but protect margins. The old way: pull competitor data into a spreadsheet, compare one by one, update listings manually. By the time you finished, the data was already stale.
We built a repricing engine that monitors competitor pricing in real-time, applies custom rules per category (minimum margin, price floor, match-or-beat logic), and adjusts automatically. A live dashboard shows every change, every reason, every margin impact.
Vendor sends ~1,000 invoices a month as PDF attachments. The old process: open each PDF, find the PO number, pull up the matching purchase order in QuickBooks, compare every line item and price, then manually create the bill. Miss a discrepancy? Congratulations, you just overpaid.
AI now scans the invoice folder, extracts every PDF, parses line items, matches them against open POs in QuickBooks down to the cent, and creates the bill automatically. Discrepancies get flagged with the exact mismatch — nothing silently approved.
Shared inbox getting 80+ emails a day. Orders, questions, complaints, spam, vendor replies — all mixed together. Someone had to read every single one, categorize it, and draft a response. Half the morning, gone.
AI reads every incoming email, categorizes by type and urgency, drafts responses for routine ones, flags urgent items, and queues everything in a dashboard for one-click send. The inbox runs itself.
Customer emails a photo of a damaged shipment. Old process: dig through Shopify for the order, find the PO, look up the vendor contact, check for photos, draft a reply to the customer, draft a separate escalation to the vendor. Half an hour per claim on a good day.
AI detects the damage report, pulls the Shopify order and vendor PO automatically, checks for attached photos, drafts both emails, and queues everything for one-click approval. Nothing slips through.
These aren't demo systems. They run every day at Industrial 4 Less, a B2B industrial supply company with 9,500+ products on Amazon and Shopify. Same founder, same tech, same approach. When we say we understand e-commerce operations, it's because we're sitting in the same chair you are.
| Operation | Manual (Current) | With AdVise Omni |
|---|---|---|
| Order fulfillment | 2+ hours nightly across channels | 5 minutes. One command. Done. |
| Repricing | Spreadsheet that's stale by Tuesday | Real-time monitoring, rule-based auto-updates |
| Invoice matching | Days of manual PO comparison | Same-day. Line-by-line. Auto-flagged discrepancies. |
| Customer email | 1-2 hrs/day sorting and responding | Auto-triaged. Responses pre-drafted. One-click send. |
| Damage claims | 30 min scramble per claim | 2 min. Both emails drafted. Nothing lost. |
| Product listings | Months to update a full catalog | Days. Generated in bulk. Pushed via API. |
30 minutes on a call. We'll walk through your fulfillment, pricing, invoicing, and email workflows — and tell you where the biggest time savings are hiding.
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