AI merchandising and pricing agents
Give your buyers agents that plan inside their own categories
Three agents for assortment plans, competitive pricing and vendor negotiations. The ones buyers call act as that buyer and see only the categories they own. No agent commits budget or sets a price below the margin floor.
Governing Retail Agents
Any tool, any model, any use case
Our example demonstrates three agents for your buying and pricing work, pulled from our template library. Our team can work with yours to build, govern, and operate your agents as you deliver on your IT strategy.
Examples for Merchandising & planning
More from the library · Merchandising
Also in the library
Draft assortment plans
Builds store-cluster assortments from sell-through and open-to-buy, and saves them as draft plans. The buyer commits.
Tools
Model
Runs
Limits
Tuned for your team
- Your store clusters and planning calendar
- Category ownership as your buying org assigns it
Applying Controls to Agents
Enforce category ownership, margin floors and budgets in one place
Dome sits between the agents and your systems. Every call is checked against rules your team writes before it reaches Blue Yonder, Revionics or a model.
Category
- Agentassort-planner is registered and active
- Callerr.whitaker verified through Okta
- Toolget_open_to_buy is granted on merch-tools
- Ruler.whitaker owns womens-denim
Comprehensive Audit
Show finance every plan and price an agent drafted
One record for every call: the agent, the buyer it acted for, the system, and the decision. Enable investigations, increase confidence and reduce risk in agentic operations.
- price-watcher06:10:03
| Timestamp | Type | Agent | Acting as | Resource | Outcome | Latency |
|---|---|---|---|---|---|---|
| 06:10:03.512 | ||||||
Regulation
Price and plan inside the rules that already apply
Merchandising agents touch prices, budgets and vendor terms. These are the rules that reach them.
Antitrust and algorithmic pricing
What it asks
The DOJ has pursued pricing software that pools competitors' nonpublic data. You need to show where a price came from.
What Dome gives you
The price watcher reads competitor prices only through tools you register, and every call is logged. You can show exactly what data each draft price drew on.
FTC Act, Section 5
What it asks
Price claims, including reference and compare-at prices, can't mislead customers.
What Dome gives you
Price changes stay drafts until an analyst publishes them, and a draft below the category's margin floor is refused.
SOX internal controls
What it asks
For public retailers, budget commitments and vendor costs reach financial records and need authorization.
What Dome gives you
The planner can't commit open-to-buy, and vendor bank details are stripped before a model sees a record.
FAQ
Common questions
How is AI used in merchandising?
Drafting assortment plans, matching competitor prices and preparing vendor negotiation briefs. Buyers keep the commitments: budget, final prices and terms.
Can AI set retail prices?
It can draft them. On Dome, a rule refuses any draft that drops below the category's margin floor, and analysts publish.
What is the legal risk in AI price optimization?
Regulators have focused on pricing tools that pool competitors' nonpublic data. Dome records what every pricing agent read, so you can show where each price came from.
How do you limit a buyer's AI agent to their own categories?
The agent acts as the buyer who asked. A rule checks the category in each request against that buyer's categories and refuses the rest.
Forward deployed engineering
Spend 30 minutes with our FDE team to understand the platform, and how it fits to your needs.
Our FDE team can get your first agent under management and work with your platform team to deliver results for your AI program.
Key topics to discuss:
- Review your AI plans, progress to date, and timeline for agentic projects in production.
- Planning a specific agent, or agentic app, to bring under governance.
- Learning more about our platform capabilities, from gateways to routing.
- Defining agentic operations as repeatable golden pathways for Platform and AppDev teams.
Explore
Other retail solutions
Industry
Retail
Order lookups, replenishment and product copy. Refunds, orders and publishing stay with your people.
See the agentsRetail
E-commerce
Customer tickets, promotions and fraud screening. Credits and discounts stay inside your limits.
See the agentsRetail
Store operations
Schedules, store walks and shrink review. Each manager's agent sees only that manager's store.
See the agentsRetail
Supply chain & fulfillment
Fulfillment exceptions, load tendering and inbound audits. Carriers, sites and chargebacks stay inside your rules.
See the agentsOther industries
AI agents for financial services
KYC reviews, client servicing and SAR narratives. Approvals, money movement and filings stay with your people.
Agentic use cases
- Review onboarding documentsChecks identity and entity documents against your CDD requirements, runs sanctions screening and writes the KYC summary. An analyst approves.
- Answer client requestsReads the client's accounts and open cases and drafts the reply to a servicing request. It never moves money or changes an account.
- Draft SAR narrativesPulls the alert history and transactions for a case and drafts the SAR narrative. An investigator edits it and files.
Answers to
- GLBA Safeguards Rule
- BSA/AML and the FinCEN CDD Rule
- NYDFS Part 500
- Regulation E (EFTA)
- CFPB UDAAP
- Interagency third-party risk guidance
- ECOA and Regulation B
- FCRA
- SR 11-7 model risk management
- PCI DSS v4.0.1
- Regulation E (EFTA) error resolution
- BSA/AML and OFAC sanctions screening
- SEC Regulation S-P (2024 amendments)
- SEC Marketing Rule and FINRA Rule 2210
- Books and records (Rule 204-2 and Rule 17a-4)
- FINRA Rule 3110 and Regulatory Notice 24-09
- SEC Rule 17a-4 recordkeeping
- Exchange Act Section 15(g) information barriers
AI agents for gaming and sports betting
Player support, responsible gaming review and bonus setup. Self-exclusions and limits stay out of an agent's reach.
Agentic use cases
- Answer player questionsLooks up a player's account, bets and withdrawal status so a specialist can answer fast. It reads. Balances and limits stay with people.
- Review responsible gaming signalsReviews players flagged for risky play and drafts case notes for the responsible gaming team. It never changes a limit.
- Configure bonusesSets up deposit matches and free bets from a campaign brief, up to the cap you set. Self-excluded players are never targeted.
Answers to
- State gaming regulations
- Bank Secrecy Act (FinCEN casino rules)
- Age, identity and location checks
AI agents in healthcare
Prior authorizations, visit notes and eligibility checks. Agents read only the charts their clinician can read.
Agentic use cases
- Assemble prior authorizationsPulls the notes, orders and imaging a payer asks for into one authorization packet. A clinician reviews it and submits.
- Draft visit notesDrafts a visit note from the encounter and the chart, in the department's template. The clinician edits it and signs it.
- Verify eligibility before the visitChecks coverage for the next day's appointments overnight. Anything that needs a call before the visit goes to the patient access channel.
Answers to
- HIPAA minimum necessary
- Business associate agreements
- HIPAA Security Rule audit controls
- CMS prior authorization rule (CMS-0057-F)
AI agents for insurance claims
Claim intake, file summaries and fraud screening. Agents read only the claims assigned to their adjuster.
Agentic use cases
- Triage new claimsReads each first notice of loss, sets severity and line of business, and routes it to the right adjuster queue. It flags. It never settles.
- Summarize claim filesSummarizes medical records, police reports and correspondence in a claim file for the assigned adjuster. Only claims that adjuster handles.
- Screen claims for fraud signalsChecks each open claim against prior claims history and flags patterns for the special investigations unit. It never denies a claim.
Answers to
- NAIC Model Bulletin on AI Systems
- Unfair claims settlement practices laws
- Insurance data security laws
AI agents for law firms
Conflicts checks, clause extraction and redlines. Every agent acts as the lawyer who asked.
Agentic use cases
- Check new matters for conflictsSearches Intapp and past matters in iManage for parties that conflict with a proposed engagement. It reports. It never clears a conflict.
- Extract clauses from contractsPulls parties, dates, renewal and change-of-control terms from the contracts in a matter workspace. Only in matters the requester is staffed on.
- Draft redlines against the playbookMarks up a counterparty draft against your playbook and saves it as a new version. Counsel reviews it and sends it.
Answers to
- ABA Formal Opinion 512
- Privilege after United States v. Heppner
- Ethical walls (Model Rules 1.7, 1.9, 1.10)
AI agents for professional services firms
Proposals, staffing and engagement status. Each agent sees only the engagements its consultant works on.
Agentic use cases
- Draft proposalsReads an RFP and drafts a response from the firm's reuse library. Client names in past work are stripped before the model sees them.
- Match staff to engagementsMatches skills and availability to a new engagement's roles and proposes a team. Resource managers make the assignments.
- Report engagement statusReads the project plan and engagement files and drafts the weekly status report. It sees only engagements its consultant is on.
Answers to
- Client confidentiality terms
- AICPA Confidential Client Information Rule
- SOC 2
- GDPR and state privacy laws
AI agents for software companies
Escalation triage, incident summaries and release notes. Agents read code and incidents. Shipping stays with engineers.
Agentic use cases
- Triage engineering escalationsReads an escalated ticket and the code it points to, drafts a diagnosis and sets priority. Fixes stay with the engineer.
- Summarize incidentsFollows an incident's timeline and recent deploys, drafts status updates and a first postmortem. It never acknowledges, pages or resolves.
- Draft release notesReads the pull requests merged since the last release and drafts customer-facing notes. The release stays a draft until an engineer publishes it.
Answers to
- SOC 2
- ISO/IEC 42001
- EU AI Act
- State privacy laws (CCPA/CPRA)
Enabling agent operations
Governance at the agent‑action boundary.
However an agent was built and wherever it runs, the same three boundaries are available to control it: the code it ships as, the tools it calls, and the model it reasons through.
Code
Agent Registry
Make every agent known and manageable. Credentials issued, capabilities declared, lifecycle owned.
See more
Tool
MCP Gateway
Evaluate every call against policy with full context. Allow, deny, or escalate. Filter what comes back.
See more
Model
Model Broker
Constrain how the agent reasons. Selection by policy, routing across providers, evals against real traffic.
See more