sales attributed to the campaign during the approved date range.
WHAT VNMSFX BUILDS
The problem that costs you is the one nobody catches in time.
Your team can fix most problems once somebody sees them. VNMSFX builds AI systems for food & beverage and CPG product brands that compare the tools you already use and show the right person what is late, missing or stuck—with the records behind it.
Something important happens → the warning sits in another tool → nobody connects the two → the problem stays hidden until it is expensive or urgent. If you are the one who catches it, you are still the system.
You do not need to know where the problem is. VNMSFX asks the questions, follows one important process from start to finish and shows what is slipping, what the records cannot answer or that nothing real was found. If there is a useful system worth building, I build SIGHT by VNMSFX for that process. Your team uses it through a company AI account such as Claude Team or ChatGPT Business. Client records never go into a personal AI account. SIGHT shows the records behind every answer. Your team decides what happens.
01Selling direct
When your ad report and your store disagree
matching paid orders during the same date range.
Discounts that give away more than you planned
A weekend influencer code is still active six months later. Or codes, automatic discounts, subscription pricing and free shipping combine in ways nobody approved. Each rule lives in a different place, so nobody sees the full discount until after the order.
You give away more than you planned on every affected order.
The system compares the discounts used with the dates and rules you approved. It shows the affected orders and amounts, then puts anything different from what should have happened in front of the person responsible.
02Wholesale
Distributor deductions and shortages
A distributor pays less and says cases were missing. The deduction is in a PDF, the purchase order is in email and the warehouse record is in the warehouse portal. Nobody brings them together before the dispute deadline expires.
The brand accepts a smaller payment or loses the chance to challenge it—not because the proof did not exist, but because it stayed scattered too long.
The system compares each deduction with its deadline and gathers the matching purchase order, warehouse record and delivery proof into one package. Your team decides whether to challenge it.
Orders that stall before they ship
A retailer sends a purchase order. Sales thinks it is accepted, but inventory is short, the warehouse never receives the instruction or the ship date passes without anyone telling the retailer.
The retailer may cancel, reduce future orders or issue a shortage deduction. The order was already won; the work between sale and shipment broke down.
The system compares accepted orders with inventory, warehouse activity, promised ship dates and delivered quantities. It shows the right person what is late, short or missing while there is still time to act.
03Subscriptions
Failed payments that never recover
A subscriber’s card expires and the charge fails. The retry never succeeds, the reminder does not go out or nobody sees which accounts still need attention. The subscription eventually cancels.
The customer may not have chosen to leave. The payment failed, and the follow-up stopped before the problem was resolved.
The system shows the failed charge, subscriber history, retry status, message status and next approved step. Your team handles the customer.
One tool says active. Another says nothing shipped.
The subscription app says active, but no charge occurred. The payment succeeded, but no order was created. Or the customer canceled, but marketing still emails them as an active subscriber.
You can ship unpaid product, fail to ship paid product or keep messaging someone who already canceled. No single tool shows the whole chain.
The system compares payment → order → shipment. When a step is missing, it shows the person responsible what broke and includes the records behind it.
04Buyer and account follow-up
Accounts that go quiet
A retailer normally orders every 30 to 45 days. It has now been 80. The last order is in one tool, the account owner is in another and nobody is comparing the two.
A proven account can cool off without anyone checking in. You spend time and money winning the relationship, then learn about the silence only after weeks or months have passed.
The system compares each account with its own ordering pattern. When one goes quiet, it shows the last order, prior history, account owner and a drafted check-in.
Buyer conversations with no owner or next date
Samples ship, quotes go out and broker introductions land in inboxes. The conversations are real, but they never enter one shared list with an owner and follow-up date.
You spend on trade shows, samples, brokers and travel—and buyer opportunities sit untouched because nobody can see who owns the next move.
The system looks for inquiries, samples, quotes and introductions with no owner or next date. Anything missing or overdue goes into one review list with the last activity and person responsible.
One mistake is easy to fix. The blind spot keeps producing more.
“This needs attention now—and here are the records showing why.”
WHAT THIS ADDS UP TO
SIGHT does the checking. Your team keeps the decision.
Your team uses it through the company AI account named in the Build Plan, such as Claude Team or ChatGPT Business. Client records never go into a personal AI account. It watches the approved records across the tools you already use and shows the right person what is late, missing or different from what should have happened—with the proof attached.
See how SIGHT reaches the approved tools →You do not need to know where the problem is.
Give me the quick version of how you sell and how work moves through the team. I will ask the questions, choose the process worth tracing and tell you whether it is worth auditing. No private files or passwords needed for the call.
Book a free teardown