CommerceIQ vs Swiftly (2026)

Agents take authenticated action inside systems CommerceIQ does not own, submitting correction tickets to retailers on purchase order discrepancies and third party infringements, adjusting bids and budgets hourly across campaigns, keywords and ad groups, and correcting listing content on live retailer product detail pages.

CommerceIQ states 1,450 retailer endpoints, naming Amazon, Walmart, Target and Instacart, describes full integration with the Instacart advertising API, and ingests from Amazon Vendor Central and Retail Analytics. There is no public API, SDK or MCP surface, and the reach stays inside retail commerce, spanning retail channel, product information, supply chain and analytics systems.

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The agents act in the retailer's operating systems as well as reading them. They process invoices, reconcile billing, handle vendor communications, build circulars, identify incorrect charges, file deduction disputes automatically and launch promotional campaigns. They do this over the POS, loyalty, ordering and supplier systems that Swiftly Connect joins. Swiftly names those systems by class and does not list the products.

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Several chains of work run in multiple steps. Purchase order reconciliation monitors weekly orders for discrepancies in named fields and automatically submits correction tickets against configurable rules on SKU, case size, case cost and availability. Third party seller management continuously audits product pages, detects infringements, generates tickets and automates takedown workflows daily.

Retail media runs hourly bid rules with budget pacing and bulk actions across campaigns, keywords and ad groups. CommerceIQ describes orchestrating actions across the supply chain and automating corrective actions instead of only reporting, so detecting, deciding, acting and following up are chained without a person at each step.

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Back office work runs as multi step workflows with conditional routing. Agents read vendor responses, answer common questions, run policy lookups, reconcile and file disputes, and route fulfillment gaps, promotion conflicts and pricing discrepancies to the right person. This runs across separate operations and marketing agent stacks.

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Agents run on schedules and events, not only on request. CommerceIQ cites round the clock commerce monitoring, hourly bid rules and continuous keyword optimization, SKU categorization that is always on, daily detection and takedown of third party variants, weekly purchase order audits, and real time out of stock prediction that alerts when inventory runs low.

Detection events trigger action directly, with tickets submitted automatically on an infringement or a purchase order discrepancy. Work reaches out to the retailers themselves and to insight packs and performance summaries for executives. There is no configuration screen for triggers or schedules.

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The agents read every inbound vendor response as it arrives, produce an automated weekly circular on a schedule and act on live transaction data, with no person starting the work. The marketing stack launches campaigns to shoppers from real shopper behavior.

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Agents work from a maintained structure built from the customer's own commerce data, not one assembled for each request.

The unified commerce engine normalizes sales, retail media, supply chain and digital shelf signals into one catalog and taxonomy, and market share measurement uses the brand's own categorization, not the retailer's, with machine learning continuously identifying new SKUs and categorizing them against that structure.

The Shelf Agent reads content, availability, assortment, ratings and reviews and search performance from it, and the Content Agent works against the customer's PIM. Customers get no ingestion, indexing or retrieval configuration.

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The agents work from the retailer's own knowledge, which Swiftly Connect joins and maintains. Swiftly Connect ships prebuilt connections to the customer's POS, loyalty, ordering and supplier systems. Its agents reconcile mismatched records, product codes and legacy data into one clean, consistent view of the store, which persists and is read at decision time.

With each shopper's purchase history, current inventory and active promotions known at once, Swiftly can personalize the circular, the app and the campaigns in ways siloed sources cannot. The view outlives any single run. Swiftly's own proprietary retail dataset, forty three billion dollars of transactions across thirty three thousand stores, is its aggregate corpus and training material, separate from the customer's knowledge.

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The agents have no memory they read as context. What persists is the unified commerce engine's sales, media, supply chain and shelf history, which is the product's data model, plus the brand's own categorization and the configurable rules automations follow, which are settings. The commerce trained model customized to the organization is model training, not memory.

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Agent state lives in the retailer's unified data view, which Swiftly Connect builds out of the POS, loyalty, inventory and supplier systems. What an agent accumulates cannot be separated from the retailer's own business records. That state persists.

Shopper purchase history, current inventory and active promotions are held together at decision time, and campaign outcomes are retained across cycles. In the closed loop every interaction makes the next campaign smarter, through model optimization over that data. Swiftly names no memory layer or memory feature and states no memory scope or lifetime.

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Approval runs in two named modes. The Content Agent does not overwrite content automatically, and the customer controls approval through Co-pilot or turns on Autopilot for automation. The Sales Agent does not automate actions without approval, surfacing recommendations for the team to review before executing, with automations following configurable rules. That is a gate on each agent, plus workflow settings for tuning which recommendations go to which teams.

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People keep the decision at named points. In the Operations AI Stack the agents handle vendor communications and deal work while the retailer approves the deals. Fulfillment gaps, promotion conflicts and pricing discrepancies are routed to the right person. Swiftly names no approval setting or mechanism beyond that.

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Data is encrypted in transit and at rest, CommerceIQ maintains SOC 2 Type II compliance, and the platform supports single sign on, role based access and audit logging. These statements sit in product FAQs, since there is no security page or trust center, and the SOC 2 report itself is not published.

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A trust center sits at trust.swiftly.com. Swiftly lists four generic safeguards, which are an information security policy, pseudonymization, anonymization and cyber security. It names no SOC 2 report or other attestation. It does not say how retailer users sign in or are granted access, and it names no access model or identity integration that a retailer operates.

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The platform keeps an audit trail and shows its reasoning. CommerceIQ supports audit logging across the platform, and automations such as pricing and revenue recovery follow configurable rules with full audit trails, a record of what agents executed, not only what happened commercially. Alongside it, the Sales Agent runs root cause analysis on what is driving performance up or down and ranks recommendations by their impact on named drivers, so the reason behind a recommendation is visible, not just the number.

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Closed loop measurement reports on campaign outcomes. Promotions are tied through to the basket, lift is measured in trips, basket size and revenue, and campaign results feed back into targeting. Swiftly names no run history, agent activity log or per action trail. It does not say whether it records which offers an agent selected for which shopper and why, though the agents act on their own on promotions and vendor communications.

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The privacy policy says all information processed may be transferred, processed and stored anywhere in the world, naming the European Union, the United States or other countries, and held in the cloud, on CommerceIQ's servers or on the servers of its affiliates or service providers. That is the opposite of a residency commitment, and there is no region selection, data center disclosure, sub processor list, VPC, single tenant or on premises option. Operating in forty countries is market coverage, not control over where data sits.

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Swiftly runs only as a cloud service. The company operates from offices in the United States and may store and use information in the United States and other jurisdictions, which it does not name. It may also transfer data to further jurisdictions so third party processors can access it, with standard contractual clauses covering EEA transfers. There is no region choice, VPC, private tenancy, self hosted or on premises option, and Swiftly discloses no data centers.

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A named set of prebuilt agents each does its own job. The AllyAI Sales Agent diagnoses what drives sales across SKUs, categories and retailers, the Media Agent optimizes bids and budgets, the Shelf Agent works the digital shelf, and a Content Agent updates listings under Co-pilot or Autopilot. Each works on its own, though no browsable gallery of agents is published.

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Retailers adopt a named set of packaged agent products instead of assembling them. They come as two AI Stacks (Operations AI Stack and Marketing AI Stack) and five AI Solutions (Audience Optimizer, SmartCircular, App and Web, Alcohol Cashback and Retail Media), each with its own product page.

Marketing AI Stack gives every shopper a marketing agent working just for them. Operations AI Stack automates vendor communications, invoice reconciliation and exception management. In App and Web, agents build and manage the retailer's digital properties with no tech team required. A customer switches these on as modules and assembles nothing.

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CommerceIQ supplies the model, and the customer does not choose it. It describes a proprietary AI engine and a commerce trained model built on more than two hundred billion dollars of annual ecommerce data from its own customer base, and the Media Agent as a neural network running thousands of optimizations across more than fifty signals.

No outside model provider is named, there is no model selector, choice for each agent, bring your own key or routing policy, and CommerceIQ states that the model is its own. Customizing that model to a customer's organization is training, not a choice of provider.

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The platform runs on Swiftly's own proprietary models. Swiftly names no way for customers to choose or route the underlying model.

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Nothing lets an outside system call CommerceIQ. There is no developer, documentation, API or status section, and no API, SDK, webhook or MCP server a customer could build against. The APIs CommerceIQ does discuss point the other way, since full integration with the Instacart API and data pulled from Amazon Vendor Central and Retail Analytics are CommerceIQ calling the retailers.

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There is no API, SDK, webhook or MCP server for outside callers. The site navigation and footer run AI Stack, AI Solutions, About and Resources with legal links, and carry no developer, documentation, API or status entry. The only application surface is a customer login at portal.swiftly.com. The prebuilt connectors are integrations in which Swiftly calls out to the retail technology a store already uses. Customers cannot build against them.

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Customers can measure the output, not the agent. An incrementality model underpins media optimization, and the customer chooses what it optimizes for, incremental return, efficiency or share of voice, by category, brand or custom grouping. Ad audits show campaign performance and how well advertising strategies work, which tests the ads the agent produced. There is no agent test harness, sandbox or simulation, scored run the customer can execute against a prompt or configuration, or published comparable result.

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Campaign results feed back into targeting and are reported as measurable lift in trips, basket size and revenue. Swiftly presents this as an improvement loop. It names no way to evaluate a change to the agents, and the closed loop campaign measurement covers the promotions, not the agents.

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Every action runs through a programmatic interface CommerceIQ can call directly, not through software operated as a user.

Campaign changes go through retailer advertising APIs, with full integration to the Instacart API, supply chain data comes from Amazon Vendor Central and Retail Analytics, and enforcement against third party sellers works by generating and submitting tickets, not by driving a seller console.

There is no browser session, virtual desktop or interface driving capability. CommerceIQ does monitor product detail pages automatically, but reading a public page is not operating software.

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Swiftly's agents act through retail systems and media channels. They do not drive a browser or operate a computer interface.

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