Vendor Central Intelligence · Powered by TAQTFUL
TQ Central gives Vendor Central brands their Amazon numbers, POs, same-day sell-through, forecasts, and your own inventory, aggregated by category and ready the moment you open your laptop. Because a perfect decision made too late is no decision at all.
One conversation. We’ll show you exactly what TQ Central looks like with real Amazon data.
Make better advertising decisions based on same day sell-through data. Amazon sales data is often over 48-hours old making same day ad decisions based on ACOS instead of TACOS, reducing profitability and limiting the ability to leverage trends. Being right but late costs the same as being wrong. TQ Central puts live data in front of every decision before the window closes.
Amazon sends POs, sell-through, and forecast models, but it tells you late, siloed, and unorganized. And it knows nothing about what you actually have in your warehouse or what you can manufacture. Shortfalls surface too late to fix.
TQ Central is the only platform that puts Amazon’s same-day Vendor Central demand signal next to your real inventory and lead times, aggregated by category, so you make the accept / replenish / manufacture call today, while it still matters. No native Amazon tool does this. No competitor does either.
Each row is a real Vendor Central pain point. Each solution exists in TQ Central today.
The most data-complete Vendor Central intelligence platform available. Same-day demand, your real supply, aggregated by category, so every call you make is the right call, made on time.
TACOS by category, live SC view, profitability and inventory in one screen. Contact us to learn more.
Category/brand-level visibility across licensee accounts, PO/forecast/inventory reconciliation for licensees. Contact us to learn more.
Portfolio view, full client isolation, replace weekly decks with live views clients can access themselves. Contact us to learn more.
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Built by operators who needed them to run real Vendor Central businesses. None of these exist natively in Amazon’s own tools. None of our competitors offer all five.
Same-day Vendor Central sell-through, the number that normally lags 48 hours in native tools. You arrive Monday already knowing what changed over the weekend, not building that picture from scratch.
PO totals and accept/reject status, forecast models (mean, P70, P80, P90), and sales rolled up in total, by ASIN, and by any tag you create, by month and by quarter, not just by week. Amazon does not aggregate this natively.
Amazon’s demand forecast knows nothing about your warehouse or manufacturing pipeline. TQ Central puts the demand signal next to your domestic inventory and lead times, by category, so shortfalls surface in time to act on them.
Vendor Central and Seller Central unified at the ASIN level, across multiple accounts, viewable by category or by custom tag. One number for the whole Amazon business, no manual reconciliation.
Unlimited custom tags you can create, change, and bulk-apply with no dev queue. Surface overspend, underspend, missed opportunity, and TACOS trends on your own terms, in your own structure, the moment you need them.
One walkthrough. Real data. Real decisions made faster.
Most tools are Seller-only point solutions. TQ Central is the only platform that unifies 1P and 3P data with PO visibility, inventory reconciliation, and full enterprise customization.
| Capability | TQ Central | Helium 10 | Jungle Scout | SmartScout | Sellerboard | Perpetua | Pacvue |
|---|---|---|---|---|---|---|---|
| Vendor Central (1P) analytics | ✓ | – | – | – | – | – | partial |
| Real-time Vendor Central data | ✓ | – | – | – | – | – | – |
| Amazon PO visibility | ✓ | – | – | – | – | – | partial |
| Forecast aggregation by month/quarter | ✓ | – | – | – | – | – | – |
| Domestic inventory reconciliation | ✓ | – | – | – | – | – | – |
| Seller Central (3P) analytics | ✓ | partial | partial | partial | ✓ | partial | partial |
| Category-level catalog slice & dice | ✓ | partial | partial | partial | – | – | partial |
| Custom tagging | ✓ | – | – | – | – | – | – |
| Multi-account / portfolio rollup | ✓ | partial | partial | partial | partial | ✓ | ✓ |
| Agency oversight & accountability | ✓ | – | – | partial | – | partial | ✓ |
| Fully customizable / enterprise | ✓ | – | – | – | – | partial | partial |
Book a demo and see TQ Central live, with real Vendor Central data.
TQ Central is not a fixed template. Every view, tag, and report is configured to match how your business actually operates, so decisions are faster and the data is always answering the right question.
Create any tag, apply in bulk, and see TACOS, revenue, and inventory by that dimension immediately. You decide the structure. You change it when the business changes.
Plan by category, by team, or by initiative. TQ Central maps to your structure, not Amazon’s, so the data answers the question you’re actually asking.
Every brand or client gets its own configured view. Reports, permissions, and tagging sheets set up exactly as needed. No one-size-fits-all here.
All vendor accounts aggregated into one portfolio view. Drill down to any brand, category, or SKU from the top-level picture, in one click.
Board-ready reporting that updates daily without any manual prep. Execs get the picture they need. Operators stop building decks.
Delivered on enterprise Microsoft infrastructure, accessible from any browser, shareable with your team, and secure from day one. No software to install.
Let’s show you what a configured TQ Central looks like for your operation.
Same-day POs, sell-through, forecasts, and your own inventory, aggregated by category. The call you would normally make next week, you make this morning.
Monday morning PO triage used to take two hours. Now you walk in already knowing what changed, what Amazon ordered, and where a shortfall is developing before it becomes a fire. You answer the exec’s question before it’s asked. You never get caught flat-footed on a PO, a stockout, or a TACOS spike.
That’s not an accident. It’s the result of having the right data, aggregated correctly, at the moment it matters.
VC sell-through updated the same day, not 48 hours later. The number you need for Monday morning, ready before the week starts.
All purchase orders in one view, with accepted and rejected totals, by ASIN and by tag. PO triage in minutes, not hours.
Amazon’s demand forecast next to your real domestic inventory and lead times, by category, so shortfalls surface early enough to manufacture.
See exactly what TQ Central surfaces for a Vendor Central business like yours.
TACOS by category, live SC view, profitability and inventory in one screen. Know exactly where ad efficiency is moving before it compounds. Ask your agency sharper questions, backed by your own data.
Licensors need category and brand-level visibility across licensee accounts. Licensees need PO, forecast, and inventory reconciliation. TQ Central handles both sides of the licensing relationship.
Portfolio view across every client in one screen, full client data isolation, and live dashboards clients can access themselves. Replace the weekly reporting SOP with something that actually scales.
Tell us about your business and we’ll show you what TQ Central can do for your operation.
Pricing is based on your operation. Book a demo and we will walk you through what TQ Central looks like for your specific setup and put together the right package.
Book a demo and we will walk you through what TQ Central looks like with your real Amazon data.
TQ Central is powered by TAQTFUL, a working Amazon agency. We built it because the tools we needed to run real Vendor Central businesses didn’t exist.
TAQTFUL is an Amazon agency. We manage real Vendor Central and Seller Central businesses for brands that take Amazon seriously. For years, running those accounts meant exporting data, joining spreadsheets, building decks, and making decisions on numbers that were already two days old.
We looked at every reporting platform we could find. None of them went deep enough on Vendor Central, none reconciled Amazon demand with real inventory, none let us run custom tagging without a development project. So we built TQ Central.
It runs on the same data our own team uses every day. Every feature exists because we needed it. Nothing was built to fill a product roadmap.
TQ Central connects to your Vendor Central, Seller Central, and advertising accounts through secure Amazon OAuth. Data is pulled and aggregated daily, including same-day VC sell-through, and delivered through enterprise Microsoft infrastructure accessible on any browser. No software to install. Daily numbers before you start work.
We went deepest where Amazon’s data is hardest. Same-day sell-through, PO aggregation, forecast rollups, and inventory reconciliation exist because they’re what our own operations required.
Our clients sell on both channels. VC and SC unification at the ASIN level was a requirement, not a roadmap item.
Secure OAuth authorization. Daily automated refresh. Customizable views. Same-day numbers before you start work. Built on enterprise Microsoft architecture.
TQ Central is a product of TAQTFUL. The same team that manages real Amazon businesses built and maintains the platform. We are the first users of everything we ship.
One conversation to see what that means for your operation.
Practical insights for Vendor Central brands and Amazon operators.
Native Vendor Central reporting lags 48 hours and lacks aggregation. Learn why brands are switching to real-time VC intelligence for Monday morning decision-making.
TACOS is the most important profitability metric for Seller Central brands. Learn how to track TACOS trends by category without spending hours in spreadsheets.
Weekly reporting decks are slow, manual, and biased. Learn why Amazon agencies are replacing reporting SOPs with live client views that build trust and save hours.
Managing multiple Amazon vendor or seller accounts without a unified portfolio view is a blind spot. Learn how multi-account rollups surface opportunities earlier.
Vendor Central and Seller Central data is fundamentally different. Understanding those differences is the first step to managing a hybrid Amazon operation effectively.
If you run a Vendor Central business, you already know the Monday morning ritual. You log in, pull the sell-through report, wait for the export, open Excel, and spend the first hour of your week building a picture of what happened last week. By the time you have it, you are already reacting to Thursday.
Amazon's native Vendor Central reporting updates sell-through data with a 48-hour delay. That means on Monday morning, the most current sell-through data reflects Saturday. For any brand managing replenishment, promotions, or purchase order responses, this is a structural disadvantage built into how you operate.
The lag exists because Amazon aggregates sell-through across its fulfillment network before surfacing it in Vendor Central. The data is there. Amazon has it. It simply is not delivered to you in real time through native tools.
Purchase order management is the other side of the problem. A Vendor Central brand managing multiple categories and SKUs receives POs continuously. Aggregating accepted totals, rejected totals, and open POs by category or by custom tag requires exporting, joining, and building a spreadsheet from scratch. Every week. For many operations teams this takes two to three hours that could be spent acting on the data instead of assembling it.
Most mid-size Vendor Central brands operate multiple vendor accounts. Amazon has no native way to see across those accounts simultaneously. Each account is its own silo. Cross-account reporting requires manual consolidation, which means manual error risk and more time lost.
When sell-through data is available the same day, Monday morning looks different. Instead of building the picture, you arrive to it. PO totals are aggregated, accept/reject status is visible by ASIN and by tag, and the category-level pulse you need to make replenishment decisions is already there when you open your laptop.
Amazon generates forecast models for Vendor Central brands: mean, P70, P80, and P90. These models are useful. What Amazon does not do is aggregate them. You can see a P80 forecast for a single ASIN. You cannot see the P80 forecast for a category or for your whole business rolled up. That aggregation has to be built manually, and it has to be rebuilt every time the underlying ASINs change.
A reporting layer that aggregates forecast models by month and by tag, automatically, solves a problem that has no native solution in Vendor Central.
Total Advertising Cost of Sale (TACOS) is the metric that separates Seller Central brands that scale profitably from those that grow revenue while quietly destroying margin. It is also one of the most time-consuming numbers to track, because Amazon does not surface it the way operators need to see it.
ACoS measures ad spend against ad-attributed revenue. TACOS measures ad spend against total revenue, including organic. The difference matters because a brand with strong organic momentum will show a high ACoS and a low TACOS simultaneously. A brand becoming dependent on advertising will show a rising TACOS even as ACoS holds steady.
TACOS is the health check that ACoS cannot perform. If TACOS is rising over time, your advertising is becoming a larger share of what is keeping the business running. If TACOS is falling, your organic is growing relative to your ad spend.
Most Seller Central brands do not have one TACOS. They have a TACOS for every category, every product line, and every campaign structure. A blended account-level TACOS hides what is actually happening. A category with 4% TACOS and a category with 22% TACOS average to something that looks acceptable and tells you nothing useful.
Seeing TACOS by category requires joining advertising data with sales data at the ASIN level, then rolling that up through a product taxonomy that Amazon does not maintain on your behalf.
TACOS trends over time are more useful than any single TACOS reading. A category where TACOS has moved from 8% to 14% over three months is telling a story a single-month view will not reveal. The story is usually one of three things: competition increased and you followed; organic performance dropped and advertising filled the gap; or a campaign structure changed and the new structure is less efficient.
Each story has a different response. You cannot tell which story it is without the trend.
One of the most practical uses of category-level TACOS data is asking your agency sharper questions. When you can see that TACOS in your core category rose 3 points last quarter while TACOS in a secondary category fell, you can ask specifically what changed and why. Without that data, the conversation defaults to account-level blended numbers and general explanations.
The weekly reporting SOP is one of the most expensive processes in an Amazon agency's operation, and most agencies do not account for that cost honestly. An analyst spending four to six hours per client per week building a deck is not doing analysis. They are doing data assembly. And the client receives a document that is already four to seven days old by the time they open it.
Consider a mid-size Amazon agency with fifteen clients. If each client requires five hours of reporting work per week, that is seventy-five hours of analyst time weekly, or roughly $234,000 per year in reporting labor alone at a modest fully-loaded rate. Most agencies undercount this cost because reporting labor is spread across the team and feels like part of the job.
Manual reporting introduces selection bias, even when agencies have no intention of misleading clients. When an analyst builds a deck, they decide what to highlight and what to note briefly. Clients receive an interpretation of their data, not their data. This is not an ethical problem most of the time. It is a structural one.
The clients that ask the most questions are not the most demanding. They are the most engaged. An engaged client who has independent access to their data asks better questions because their questions are grounded in what they have already seen. Agencies that give clients direct dashboard access consistently report shorter and more productive client calls.
A common concern among agencies considering client-facing dashboards is that transparency will expose underperformance. This concern gets the incentive structure backwards. An agency that is performing well has nothing to fear from real-time client access. The agencies with the longest client relationships tend to be the most transparent.
A portfolio view showing every client's key metrics on one screen, updated daily, replaces the bulk of what weekly decks currently do. Clients get their own access. Analysts spend time on analysis instead of assembly. Account managers walk into client calls already knowing what the client has seen. The deck becomes a summary with agency commentary added on top. That is a product worth paying for.
The moment a brand operates more than one Amazon account, it enters a blind spot that Amazon's native tools do not help with. Each account is its own silo. Vendor Central shows you what is happening inside that vendor relationship. A second Vendor Central account shows you a separate, unrelated picture. And a Seller Central account adds a third data stream with no native connection to either.
Most multi-account Amazon operations did not start that way. They grew into it. A brand acquires another company and inherits its Amazon relationships. A licensing deal creates a new vendor account for a specific product line. A decision to test direct-to-consumer on Seller Central while maintaining the 1P relationship creates a hybrid structure.
Without a cross-account view, certain problems are invisible until they compound. A category with strong sell-through in one vendor account and inventory pressure in another reads as two separate situations in native reporting. With a unified view, it reads as a supply chain issue that needs attention across both accounts simultaneously.
Executives managing a multi-brand Amazon operation need a portfolio view that answers a different set of questions than operations teams ask. Which brands are growing? Where is inventory risk concentrated? Which categories produce the strongest TACOS efficiency? A portfolio view showing each brand's revenue trend, TACOS efficiency, and inventory position on one screen, updated daily, answers all of those without requiring a report request.
Custom tagging is the mechanism that makes multi-account analysis coherent. When the same product category tag is applied consistently across SKUs in multiple vendor accounts and a Seller Central account, the category-level rollup becomes meaningful. Revenue by category, TACOS by category, and inventory by category across all accounts in one view is not possible without a tagging layer that spans every account connection.
Vendor Central (1P) and Seller Central (3P) are not just different ways of selling on Amazon. They are different business models with different data structures, different reporting cadences, and different operational questions. Most comparisons focus on margin and control. This one focuses on data, because data is what you actually use to run the business day to day.
In Vendor Central, Amazon buys your inventory. Revenue to you is recognized when Amazon accepts a purchase order and you ship. In Seller Central, the transaction is between you and the end customer. Revenue is recognized when the customer buys. This structural difference flows directly into the data each model generates.
Vendor Central sell-through lags the real-time picture by roughly 48 hours in native reporting. This is a function of how Amazon aggregates data across its fulfillment network. Seller Central order data is closer to real time. But advertising data on the Seller Central side carries its own lag, and the combination of orders plus advertising performance required to calculate TACOS is not something Amazon aggregates natively.
Vendor Central POs are one of the most operationally important data points in the 1P model. Tracking PO accept/reject rates by ASIN, by category, and over time is essential for a well-run VC operation. None of that exists in Seller Central, because Seller Central does not have POs. The inventory decision is yours entirely.
Amazon provides forecast models to Vendor Central brands: mean, P70, P80, and P90. These are useful inputs for production planning. What Amazon does not do is aggregate these forecasts across ASINs. Seller Central brands do not receive the same forecast models. Demand planning on the SC side is based on the brand's own analysis of historical sales velocity, seasonality, and advertising performance.
A brand operating both VC and SC faces a reporting environment where the two data streams use different taxonomies, different timing, and different metrics. Unifying them at the ASIN level requires a data layer that connects both account types and applies a common product taxonomy through custom tagging. When that unification works, a hybrid brand can see total revenue across both channels by category, TACOS on the SC side contextualized against the broader VC picture, and inventory positions across both fulfillment relationships.