ChatGPT answers, unedited

Yes. If you’re talking about Amazon/Walmart/retail-media accounts with thousands—or tens of thousands—of SKUs, there are several serious bid-automation platforms.

The ones I'd look at

• pacvue.com — Probably my first choice for a very large catalog. It combines AI bid optimization with rules, budget pacing, dayparting, inventory/Buy Box signals, and ASIN-level profitability data. It explicitly targets enterprise brands and agencies managing complex Amazon businesses. Pacvue Pacvue
• perpetua.io — Strong Amazon-focused option. It automatically adjusts keyword bids toward Target ACoS and supports automated campaign/keyword management. It also supports Walmart and other retail media channels. Perpetua Perpetua
• skai.io — More of an enterprise cross-channel platform. It has algorithmic bidding, portfolio-level optimization, custom algorithms, automated actions, and bulk management of thousands of entities. Particularly interesting if you're managing Amazon + Walmart + Google/Microsoft + other channels centrally. Skai Skai

For thousands of SKUs, the important distinction

You don't really want a tool that simply says:

"SKU A had a bad ROAS → lower bid 10%."

At large scale, I'd want the system to optimize across SKU × keyword/target × placement × time × inventory × margin, ideally with different goals by product/category.

For example:

High-margin SKU
→ tolerate higher ACoS
→ bid aggressively on high-value terms

Low-margin SKU
→ enforce contribution-margin/ROAS ceiling
→ reduce bids automatically

Low inventory SKU
→ automatically suppress/decrease advertising

High inventory SKU
→ increase bids/budget when marginal ROAS supports it

Thousands of SKUs
→ portfolio-level optimization rather than manually configuring thousands of campaigns.

Pacvue is particularly interesting here because its current product combines bid optimization with inventory, pricing, Buy Box and profitability signals, rather than treating advertising data in isolation. Pacvue

If you tell me which marketplace(s) you're on (Amazon, Walmart, Google Shopping, etc.), roughly how many SKUs, monthly ad spend, and whether your optimization goal is ROAS, ACoS, profit/contribution margin, or revenue, I can narrow this down to the 2–3 tools I'd seriously consider and explain how I'd architect the bidding system.

Yes. If you mean automated bidding across thousands of SKUs/ASINs, there are several enterprise tools built specifically for this.

Strong options

• pacvue.com — Probably the first one I'd evaluate for a very large catalog. It supports AI/rule-based bid optimization, budget pacing, inventory/Buy Box/pricing signals, and automation across 100+ retailers. Its Amazon product specifically supports automated bid optimization at the ASIN/campaign level. Pacvue Pacvue
• skai.io — Very strong enterprise option, particularly if you're managing Amazon + Walmart + Target + Instacart and other retail media simultaneously. It supports portfolio-level ROAS goals, automated bids/budgets, custom algorithms, automated rules, and product-level data. Skai Skai
• quartile.com — Another platform worth evaluating for Amazon/Walmart-style marketplace advertising, especially if you want AI-driven campaign and bid management rather than building the optimization layer yourself.

The important distinction

With thousands of SKUs, I'd avoid looking for merely a "bid management tool." You want something that can optimize at the product/ASIN × keyword × placement × campaign level while incorporating things like:

• Target ROAS / ACOS / TACOS
• Contribution margin, not just revenue
• Inventory and days of supply
• Buy Box status
• Product conversion rate
• Search-term performance
• Organic rank
• Seasonality
• Minimum/maximum bid constraints
• Budget allocation across thousands of products
• Different targets by SKU/category/lifecycle stage

For example, Pacvue explicitly incorporates inventory, Buy Box, pricing and profitability signals into media optimization, which becomes particularly valuable when you're managing a huge catalog. Pacvue

If you're talking about Amazon specifically, I can also compare Pacvue vs. Quartile vs. Perpetua vs. Skai for a catalog of, say, 10k–100k SKUs, including which one is best if your goal is profit maximization rather than simply ACOS.

Yes. If you're talking about ecommerce PPC/retail-media bid automation at thousands-of-SKU scale, there are several serious platforms built for this.

Strong options

• Pacvue — Probably the first one I'd evaluate for a large enterprise catalog. It does ML-driven bid optimization, budget allocation, dayparting, product-level automation, and can incorporate inventory, Buy Box, pricing, and profitability signals. It supports Amazon, Walmart, and 100+ retail media networks. Pacvue Pacvue

pacvue.com

• Skai — Very enterprise-oriented. Its bidding can optimize at granular levels and it has automated actions plus ML-based bid-to-ROI optimization. It has documented use cases involving large, multi-marketplace Amazon programs. Skai

skai.io

• Marin Software — Particularly interesting if the problem is Google Shopping/SKU-level bidding. Marin has specifically documented bidding down to the SKU level rather than applying a blended bid to groups of products. It also supports Amazon and automated budget allocation. Marin Software Marin Software

marinsoftware.com

• Helium 10 Ads — More Amazon/Walmart-focused, with automated campaign management and bid optimization. It is powered by Pacvue technology. Helium 10

helium10.com

The important distinction

For 10,000+ SKUs, I wouldn't choose a tool merely because it says "AI bidding." The interesting question is whether it can make decisions at something like:

SKU/ASIN × keyword × placement × marketplace × time × inventory × margin

rather than simply:

campaign → target ROAS → adjust bids

Pacvue is particularly interesting here because it explicitly supports product-level orchestration and can use commerce signals such as inventory, Buy Box status, and margin alongside advertising performance. Pacvue Pacvue

If you tell me which channel you're trying to automate (Amazon, Google Shopping, Walmart, Meta, or all of them), approximate SKU count, and whether you optimize for ROAS, contribution margin, or revenue, I can narrow this down to the 2–3 tools that are actually appropriate for your scale.

Yes. If you mean automating bids across thousands of individual SKUs/products, there are several options—and the right one depends heavily on whether you're talking about Google Shopping/PMax, Amazon, or multiple retail ad channels.

If it's Google Shopping / Performance Max

The first thing I'd look at is Google's native Smart Bidding. It is specifically designed to operate at auction level rather than requiring you to manually set bids for every SKU. Target ROAS, for example, uses conversion-value predictions to adjust bids dynamically. support.google.com

For a huge catalog, you generally don't want a bid-management system that literally changes 10,000 SKU bids every day. You want a system that:

• ingests SKU/product-level revenue, margin, inventory, and conversion data
• segments products intelligently
• assigns different ROAS/CPA targets by product/category
• reallocates budget toward profitable products
• accounts for seasonality and inventory
• handles low-volume SKUs without overreacting to noisy data
• feeds changes into Google/Amazon automatically

Google also supports portfolio and cross-account bidding, which can aggregate learning across campaigns/accounts. support.google.com

Enterprise third-party platforms

For thousands → hundreds of thousands of SKUs, I'd investigate platforms such as:

• Skai — enterprise-level optimization across Google, Amazon and other retail media.
• Pacvue — particularly strong if Amazon + Walmart + retail media are involved.
• Teikametrics — ecommerce-focused automated advertising/bidding.
• Quartile — automated PPC optimization, especially for large Amazon/Google portfolios.
• Perpetua — automated ecommerce advertising, with strong Amazon/retail-media orientation.
• Feedvisor — particularly relevant for Amazon/marketplace sellers.

The important distinction is that these aren't all doing the same thing. Some are primarily retail-media bid optimization, while others add catalog/feed management, profitability modeling, budget allocation, reporting, and marketplace automation.

One important caveat

If your problem is:

"We have 50,000 SKUs and need to determine the right bid/target for each SKU based on margin, conversion rate, inventory, price, and competitive pressure."

that's a more interesting problem than ordinary Google Smart Bidding.

In that case, I'd look for a platform that can optimize toward profit/contribution margin rather than just ROAS. For example, a $100 product with $10 profit and a $100 product with $60 profit shouldn't necessarily have the same advertising target.

If you tell me (1) Google, Amazon, Walmart, or multiple channels, (2) roughly how many SKUs, and (3) whether your goal is ROAS, profit, or revenue, I can narrow this down to the 3–5 tools I'd seriously evaluate and compare them on SKU scale, automation, pricing, and API/data capabilities.

Yes. If you mean automated PPC/retail-media bid management across thousands of SKUs/ASINs, there are several serious enterprise tools.

The ones I'd look at

Pacvue is probably the first one I'd investigate if you literally have thousands of SKUs. Its current platform explicitly supports product-level orchestration, ML bid optimization, budget reallocation, and rules that can react to inventory, Buy Box status, pricing, and profitability. It also says it can standardize automation across 100+ retail media networks. pacvue.com

There's a particularly relevant Pacvue case study involving a brand managing thousands of SKUs across Amazon, Walmart, and other retailers, which is almost exactly the scenario you're describing. pacvue.com

Skai is another strong enterprise option. It uses portfolio-level ML bidding and can optimize bids/budgets across many retailers; it also has automated actions and dayparting. skai.io

Quartile is worth considering if you want more of a software + managed optimization model. It reports managing $2B+ in annual retail ad spend and 5,300+ customers, with granular product-level automation. www.quartile.com

But there's an important distinction

If you have, say, 20,000 SKUs, you don't necessarily want a tool that simply changes 20,000 individual keyword bids.

The better systems optimize at multiple levels:

SKU/ASIN → campaign → portfolio → category → account

and incorporate things like:

• Contribution margin / profitability
• Conversion rate
• ACOS / ROAS targets
• Inventory and days of supply
• Buy Box status
• Price competitiveness
• Organic rank
• Promotions
• Search-term performance
• Seasonality
• Budget pacing
• Incrementality

That's where Pacvue/Skai/Quartile become much more interesting than basic Amazon PPC bid tools. Pacvue, for example, specifically describes automatically pausing spend on OOS, low-margin, or Buy Box-lost ASINs and reallocating spend toward products that can win. pacvue.com

If you tell me (1) Amazon only vs Amazon + Walmart/Google, (2) roughly how many SKUs, and (3) monthly ad spend, I can narrow this down to the 2–3 tools I'd actually shortlist, including approximate pricing and which one is likely to handle your scale best.

Yes. If you're talking about Amazon/Walmart-style retail media with thousands of SKUs/ASINs, there are several platforms specifically built to automate bidding at that scale.

The ones I'd look at

Pacvue is probably the first one I'd investigate for your use case. It explicitly supports SKU-level optimization, automated bids/budgets, pacing, and AI-driven bidding, and currently positions itself across 100+ retailers. pacvue.compacvue.com

Feedvisor is particularly interesting if you're primarily on Amazon. Its current Agentis platform advertises autonomous bid optimization, budget reallocation to high-opportunity ASINs, dayparting, keyword discovery, and optimization informed by inventory, pricing, margin, and competition. Its Agentis Studio currently lists a 50,000-SKU cap per two-storefront package, with larger configurations available through the account team. feedvisor.compacvue.com

Quartile is another serious option for high-volume catalogs. It says it manages over $2B in annual retail ad spend across 5,300+ customers and focuses on automating advertising across major marketplaces and channels. www.quartile.com

The important distinction

If you have 5,000–50,000+ SKUs, I wouldn't look for merely a "PPC bid automation tool." I'd look for a system that can:

• Make ASIN/SKU-level bid decisions
• Optimize thousands of targets simultaneously
• Reallocate budgets automatically
• Account for margin, not just ACOS/ROAS
• Incorporate inventory and Buy Box status
• Handle campaign/keyword creation and restructuring
• Adjust bids intraday
• Handle seasonality/promotions
• Automatically pause or reduce spend on poor/ineligible SKUs
• Work across multiple marketplaces if needed
• Give you guardrails rather than requiring someone to inspect every campaign

Pacvue, for example, explicitly describes automation across bids, budgets, pacing and dayparting, while Feedvisor connects advertising decisions to pricing, inventory and margin. feedvisor.compacvue.com

If you tell me roughly how many SKUs you have (e.g. 5k, 50k, 500k), which marketplaces (Amazon only vs Amazon + Walmart + others), and whether you're optimizing for ROAS, TACoS, contribution margin, or revenue, I can narrow this down to the 2–3 platforms I'd seriously consider.

Yes. If you mean advertising bid automation across an ecommerce catalog with thousands of SKUs/ASINs, there are several serious platforms built for this.

The ones I'd look at

For thousands of SKUs, I'd shortlist Pacvue and Teikametrics first.

Teikametrics is especially interesting if your problem is essentially “calculate and continuously update the optimal bid for tens/hundreds of thousands of targets.” Its bidder uses product/advertising data, conversion-rate and AOV forecasts, seasonality, inventory, price, match type, etc., and automatically changes bids. It supports Amazon and Walmart. help.teikametrics.com

Pacvue is probably the stronger choice if you're dealing with a large enterprise catalog + multiple retailers + complex business rules. Its current platform can automate bids, budgets and pacing and incorporate signals such as inventory, Buy Box, pricing and profitability. pacvue.com

Skai is another enterprise-grade option; for Walmart specifically, it advertises algorithmic bid/budget optimization and bulk operations across thousands of campaign entities. skai.io

One important distinction

If by "bid automation" you mean Google Shopping / Performance Max, rather than Amazon/Walmart marketplace ads, that's a somewhat different category. Google itself has automated bidding, but there are platforms that sit above it and optimize SKU-level portfolio economics using margin, inventory, conversion rate, LTV, etc.

If you tell me which channels you're running (Amazon, Walmart, Google Shopping/PMax, Meta, eBay, etc.) + roughly how many SKUs and monthly ad spend, I can narrow this down to the 3–5 tools actually capable of handling your scale, including pricing and how their bidding algorithms differ.

Yes. If you're talking about automatically adjusting bids across thousands of SKUs/products, there are several mature platforms built for exactly that.

Strong options

The important distinction

For a 5,000–100,000+ SKU ecommerce catalog, you generally don't want a system that simply says:

"Increase bids on keywords with good ROAS."

You want something closer to:

SKU → product/campaign → search term → placement → bid → budget → margin/inventory constraint

and ideally the system should automatically determine which products deserve more or less spend.

For example:

• SKU A: 45% contribution margin + high inventory → increase bids
• SKU B: 8% margin → reduce bids despite good ROAS
• SKU C: low inventory → suppress advertising
• SKU D: high conversion rate + lost impression share → increase bid
• SKU E: thousands of impressions but no sales → cut bid
• SKU F: seasonal demand spike → automatically become more aggressive

That's where platforms like Feedvisor/Agentis and Pacvue become particularly interesting, because they can incorporate more than just ad performance. Feedvisor, for example, explicitly connects advertising with pricing, inventory, competition and margin. feedvisor.com

If you tell me where you're advertising (Amazon, Google Shopping/PMax, Walmart, Meta, etc.), roughly how many SKUs, and monthly ad spend, I can narrow this down to the 2–3 tools I'd actually shortlist and explain what each would automate.

Yes. If you're talking about Amazon/Walmart/retail-media accounts with thousands or tens of thousands of SKUs, there are several enterprise-grade tools built specifically to automate bidding at that scale.

Strong options

• Pacvue — probably the first one I'd evaluate for very large catalogs. It supports SKU/product-level orchestration, ML-driven bidding, budget pacing, automated rules, inventory/Buy Box signals, and cross-retailer execution. It explicitly positions itself for 100+ retail media networks. pacvue.com
• Perpetua — strong marketplace advertising automation, particularly Amazon and Walmart, with automated optimization and retail-media reporting. perpetua.io
• Intentwise — worth considering if you're heavily Amazon-focused and want sophisticated Amazon Ads + AMC/data workflows alongside optimization. The enterprise stack is often paired with a bidding/activation platform. clearsightnow.com

For thousands of SKUs, the important distinction is that you don't really want a tool that merely changes bids according to simple rules. You want something that can:

1. Optimize at SKU/ASIN → campaign → portfolio levels.
2. Incorporate conversion rate, CPC, CVR, ROAS/ACOS, margin, inventory, Buy Box, price and promotional signals.
3. Handle sparse data without wildly changing bids on low-volume SKUs.
4. Reallocate budget, not just bids.
5. Automate campaign/keyword/target creation and cleanup.
6. Apply different bidding strategies by product economics.
7. Operate across thousands of entities without someone maintaining thousands of rules.

Pacvue is particularly interesting here because its current platform explicitly describes product-level orchestration, including aligning bids and budgets around the same ASIN/product family and using profitability, availability and shelf conditions in optimization. pacvue.com

If you tell me which marketplace(s) you're running (Amazon, Walmart, Google Shopping, etc.), roughly how many SKUs, monthly ad spend, and whether you're optimizing to ROAS or contribution margin, I can narrow this down to the 2–3 tools I'd seriously evaluate.

Yes. For high-volume ecommerce accounts with thousands of SKUs, there are several bid automation platforms built specifically to handle SKU-level optimization, especially for Amazon PPC, Walmart, Google Shopping, and retail media. The right choice depends on where you advertise.

Some commonly used options:

For Amazon specifically, tools like SellerApp, SellerMate, and BidX also focus on automated bid rules, budget management, and scaling across many campaigns. www.sellermate.ai

For thousands of SKUs, the important capabilities are usually:

• SKU-level profitability optimization (not just ROAS)
  • margin
  • inventory position
  • conversion rate
  • contribution profit
  • TACOS/ACOS targets

• Portfolio bidding
  • group similar products together
  • shift spend toward winners
  • reduce bids on products with weak economics

• Automated campaign operations
  • keyword harvesting
  • negative keyword management
  • search term mining
  • budget reallocation
  • bid adjustments by placement/device/time

• Inventory-aware bidding
  • reduce spend when stock is low
  • push products with excess inventory

For example, FiveX’s AdMAX focuses on connecting advertising decisions with SKU margin, inventory, conversion, and TACOS rather than optimizing only ad metrics. fivex.com

A rough rule of thumb:

• <500 SKUs: SellerApp, SellerMate, Teikametrics, Quartile may be enough.
• 1,000–50,000 SKUs: Pacvue, Perpetua, Skai, CommerceIQ, FiveX-type platforms are more common.
• Multi-channel catalog (Amazon + Google + Walmart + Meta): look for a retail media platform rather than an Amazon-only PPC tool.

If you tell me which channels you mean (Amazon PPC, Google Shopping, Walmart Connect, Meta, etc.) and approximate SKU count/ad spend, I can narrow it down to the tools that actually fit.

Yes. If you're talking about paid-search / Shopping bid automation across thousands of SKUs, there are several tools built specifically for this. The right one depends heavily on whether you're primarily on Google Shopping/PMax, Amazon, or both.

For Google Shopping / PMax

• GROW — particularly interesting for very large catalogs. It advertises automated per-product bidding, including margin/profit-aware bidding, and specifically positions itself for 1,000–10,000+ SKU catalogs. grow.online
• Ryze AI — automates bids, budgets, and product prioritization across large Shopping catalogs. www.get-ryze.ai
• Optmyzr — better if you want a sophisticated rules/automation layer with more human control rather than a pure black box.
• smec — worth looking at for large catalogs where you have detailed margin/product data; it is specifically mentioned as an option for large catalogs. www.get-ryze.ai

For Amazon

For thousands of ASINs, I'd shortlist:

• Pacvue — enterprise-grade, particularly if you're managing Amazon plus other retail media.
• Perpetua — strong automated bidding and goal-based optimization.
• Quartile — heavily focused on algorithmic optimization.
• Teikametrics — Amazon/Walmart-oriented and combines advertising with profitability data.
• Helium 10 Adtomic — more attractive if you're already using Helium 10.

Recent comparisons generally put Pacvue/Perpetua/Quartile toward the enterprise end of Amazon PPC automation. www.sellerstacked.co

The important distinction

For 5,000–100,000+ SKUs, I wouldn't look for a tool that simply says "AI bid optimization." You want something that can do SKU-level portfolio management:

Product feed → SKU economics → segmentation → bid → budget → search-term/targeting decisions → continuous feedback

For example, you might want the system to automatically recognize:

That's much more powerful than simply saying "keep ROAS at 500%." At very large catalogs, margin, inventory, conversion volume, and product-level economics become important inputs to the bidding system. www.osmos.ai

Also, feed automation and bid automation are separate problems. For example, GoDataFeed says it processes 50M SKUs daily and can apply catalog-level rules and bidding segments, but it's primarily a feed-management layer rather than a standalone bid optimizer. www.godatafeed.com

If you tell me (1) Amazon vs Google vs both, (2) roughly how many SKUs, and (3) monthly ad spend, I can narrow this down to the 3–5 tools I'd actually consider and compare them on automation depth, SKU scalability, pricing, and how much control you retain.

Yes. If you mean automated bid optimization across thousands of SKUs/ASINs, there are several serious platforms built for exactly that—not just simple “rules” tools.

The ones I'd look at

Pacvue is probably the first one I'd investigate if you're talking about, say, 5,000–100,000+ SKUs/ASINs. It can automate bids and budgets while incorporating things like inventory, Buy Box status, pricing, margin, and performance signals. It specifically supports Amazon and Walmart, among other retail networks. pacvue.com

Skai is particularly interesting if you're running advertising across Amazon + Google + Walmart + other channels. It has algorithmic bid optimization and clustering designed for large campaign structures; one published Amazon case involved scaling across multiple marketplaces and automating keyword bids toward CPA/ROI targets. skai.io

Perpetua is worth considering if the problem is primarily Amazon/Walmart marketplace advertising and you want something somewhat more ecommerce-native. perpetua.io

The important distinction

For thousands of SKUs, I wouldn't choose based simply on "does it automate bids?"

I'd look for:

• SKU/ASIN-level profitability, not just ROAS/ACOS
• Bid optimization with enough data aggregation to avoid making bad decisions on low-volume SKUs
• Portfolio-level optimization rather than treating every keyword independently
• Inventory-aware bidding
• Buy Box awareness
• Margin/contribution-profit targets
• Budget pacing and automatic reallocation
• Dayparting
• Search-term harvesting/negatives
• Ability to handle huge campaign/keyword counts through APIs
• Custom rules/guardrails around promotions and new products
• Bulk campaign creation and restructuring
• Cross-marketplace optimization if you're on Amazon + Walmart + Google Shopping

Pacvue is particularly strong on the commerce-data → advertising-action connection. For example, it can automatically reduce/pause spend on out-of-stock or low-margin ASINs and adjust bids based on real-time signals. pacvue.compacvue.com

If you tell me what ecommerce platform(s) you're advertising on (Amazon, Google Shopping, Walmart, Shopify, etc.), roughly how many SKUs, monthly ad spend, and whether your goal is ROAS, profit, or revenue, I can narrow this down to the 2–3 tools I'd actually shortlist and explain how I'd architect the automation.

Yes. If you mean automatically managing bids across thousands of SKUs/ASINs, there are several platforms built for exactly that.

Strong options

For thousands of SKUs, I'd look particularly hard at Pacvue

The important distinction is that you're probably not looking for a simple "Amazon PPC automation" tool. At thousands of SKUs, you want an optimization layer that can make decisions at the ASIN × keyword × campaign level, while incorporating things like:

• Target ACOS / ROAS
• Conversion rate and sales velocity
• Margins / contribution profit
• Inventory and out-of-stock status
• Buy Box ownership
• Organic ranking
• Search-term performance
• Dayparting
• Budget pacing
• Seasonality/promotions
• Cross-SKU cannibalization
• Marketplace differences

Pacvue specifically supports retail-aware bidding, including inventory, pricing and Buy Box signals, and its automation can adjust bids/budgets and pause or scale campaigns based on those signals. pacvue.com

Perpetua is also compelling if your use case is primarily Amazon Sponsored Products/Brands/Display. It has automated bidding and bulk management, including bulk ASIN, target, budget and ACOS changes. help.perpetua.io

If you tell me your setup — e.g. Amazon only vs. Amazon + Walmart, roughly how many SKUs, monthly ad spend, and whether you optimize to ACOS, ROAS, or actual contribution margin — I can narrow this down to 2–3 tools and explain which one I'd pick.

Yes. If you mean automated bidding across thousands of SKUs/ASINs, there are several enterprise-grade tools built specifically for this.

The ones I'd look at

Pacvue is probably the closest match to what you're describing. It specifically supports product-level orchestration across campaigns, automatically optimizes bids toward ROAS/ACOS targets, and can incorporate product availability, Buy Box, profitability, and other commerce signals. It says it supports 100+ retailers. pacvue.com

Pacvue

Skai is another strong choice if your account spans Amazon plus Google/Microsoft and you want more sophisticated portfolio-level control. It lets you group campaigns around common ROAS/budget objectives and have its algorithms adjust bids and budgets automatically. skai.io

Skai

Quartile is worth investigating if the center of gravity is Amazon. It explicitly positions itself as an AI/ML ecommerce PPC optimization platform and says thousands of sellers use it across Amazon, Google Shopping, Walmart, Instacart and other channels. buywithprime.amazon.com

Quartile

One important distinction

For 10,000+ SKUs, I wouldn't just look for a "bid automation" tool. I'd look for one that can optimize at the product/ASIN level, because otherwise you can end up optimizing campaigns while missing the economics of individual products.

Ideally the system should be able to do something like:

SKU → margin → inventory → conversion rate → TACoS/ROAS target → bid → budget → placement

and automatically change those decisions as the underlying data changes.

If you tell me which marketplaces you're running (Amazon, Walmart, Google Shopping, etc.), roughly how many SKUs, and whether your goal is ROAS, TACoS, profit, or revenue, I can narrow this down to the 2–3 tools I'd actually shortlist for your situation.