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Retail agents

AI Agents for Retail

FISTA Solutions builds retail AI agents for the store and the back office: prioritizing daily tasks by real conditions, answering customer questions from live systems, investigating inventory exceptions, answering associate product and procedure questions, and summarizing demand signals for planners.

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150+
projects delivered
50+
companies served
99.9%
verified uptime
47%
efficiency gains
12+
countries reached

What we build

What can AI agents do in retail?

Retail agents rank each store's tasks by inventory, traffic, and compliance signals, answer customer questions from live data, investigate stock discrepancies with proposed corrections, answer associate questions from approved content, and summarize demand signals with data attached.

  1. 01

    Store task agent

    Prioritizes the day's tasks per store from inventory, traffic, and compliance signals, adapting as conditions change.

    Store
  2. 02

    Customer service agent

    Answers order, availability, and returns questions from read-only systems, escalating policy decisions to staff.

    Service
  3. 03

    Inventory exception agent

    Investigates negative on-hands and transfer discrepancies, proposing corrections for approval.

    Inventory
  4. 04

    Associate knowledge agent

    Answers product and procedure questions from approved content with citations, replacing binder hunts on the floor.

    Associates
  5. 05

    Demand signal agent

    Summarizes sales, weather, and promotion signals per store and category with the data attached for planners.

    Planning

Requirements

What guardrails do retail agents need?

Retail agents serve associates on shared devices and customers who expect accuracy, so guardrails cover grounding, authority, and usability: answers come from live systems, price and stock changes need approval, and outputs must be readable in seconds on a store device.

Retail: requirements and how FISTA Solutions builds to them
GuardrailWhy it matters hereHow FISTA implements it
Grounded answersWrong availability or price answers cost trust and margin.Live retrieval from merchandising and inventory systems, no generative recall of prices or stock, and abstention when systems are down.
Change authorityPrice and inventory adjustments have financial impact.Approval gates on adjustments, with proposals prepared by the agent and applied by an authorized user.
Store usabilityAssociates read on the move between customers.Short, scannable answers, large targets, and offline messaging when connectivity drops.
Consistency across channelsStore and online answers must agree.One retrieval layer serving store, contact center, and digital channels, so the same question gets the same answer.
Shared device privacyStore devices are used by many associates.Session scoping, fast switching, and no customer data persisted on the device.

Where AI fits

Which retail workflow should you automate first?

Start with the associate knowledge agent. It is internal, grounded in content you already own, and removes a daily frustration, which builds the store credibility that customer-facing agents will need.

  1. 01

    1. Answer associate questions

    Product and procedure lookup is constant, internal, and immediately appreciated on the floor.

  2. 02

    2. Investigate inventory exceptions

    Back-office work with clear correctness criteria and approval gates on every adjustment.

  3. 03

    3. Prioritize store tasks

    Replace a static task list with one ranked by the conditions of that store today.

  4. 04

    4. Serve customers

    Extend the same grounded retrieval layer to customer questions across channels.

  5. 05

    5. Summarize demand

    Give planners signal summaries with data attached once the underlying retrieval is trusted.

Cost and timeline

How much does an AI agent for retail cost, and how long does it take?

Cost is driven by system integration, store count, and content readiness; timeline by device management and pilot cycles. FISTA does not quote blind: the scoping call returns an agent design and a phased rollout estimate.

Content readiness drives the associate agent's value. Where product and procedure content is scattered across PDFs and intranets, indexing and cleanup is the first task, and it is priced openly rather than buried.

Rollout is a retail cost line. Device management, training, and support paths across hundreds of stores are planned and priced with the build, because the chain-wide launch is where retail programs usually stall.

Send the scope you have, even if it is a paragraph. You get a written brief, an architecture sketch, and a phased estimate before any commitment.

Get a scoped quote

Delivery

How does FISTA deliver an AI agent into production?

FISTA delivers agents in four gated phases: a discovery sprint that picks the workflow and writes the agent specification, a design that names tools, permissions, and approval points, a build with an evaluation harness and shadow runs on real work, and a production release with traces, dashboards, and rollback.

  1. 1

    Select and specify

    Choose the workflow with a measurable outcome, map its systems and edge cases, and write the agent spec with success metrics.

    Output

    Agent specification, golden test set

  2. 2

    Design the guardrails

    Tool inventory with least-privilege scopes, approval gates, escalation paths, data handling, and the evaluation plan.

    Output

    Tool and permission matrix

  3. 3

    Build and shadow-run

    Implement tools as MCP servers or connectors, iterate against the evaluation harness, and run in shadow mode on live inputs.

    Output

    Shadow-mode results, eval scores

  4. 4

    Release and observe

    Graduated rollout, full traces, cost and quality dashboards, on-call runbook, and a change process that re-runs the evals.

    Output

    Production agent with SLOs

Why FISTA

Why choose FISTA Solutions to build your retail agents?

FISTA builds retail agents that ground every answer in live systems, keep price and stock authority with people, and are tested on the devices associates actually carry. Work is contracted through a US entity with full IP assignment.

Retail specifics

  • Availability and price answers are retrieved live; the agent abstains rather than guessing when a system is unavailable.
  • Adjustments are prepared by the agent and applied by an authorized user, never executed autonomously.
  • One retrieval layer serves store, contact center, and digital, so channels stop contradicting each other.
  • Outputs are designed and tested for shared store devices, including offline messaging.

How FISTA engineers

  • Spec-Driven Development: every deliverable starts as a written specification with acceptance criteria, so scope is testable before it is built.
  • AI-native delivery: engineers direct coding agents under review gates and evaluation harnesses, compressing build time without loosening verification.
  • Official Anthropic partner, with production experience across Claude, OpenAI, Google, and open-weight models, chosen per workload rather than by default.
  • One accountable delivery lead, weekly demos on your environment, and code in your repositories from week one.

What you get as a client

  • 150+ projects delivered for 50+ companies across 12+ countries since 2017, with 99.9% verified uptime on systems we operate.
  • A US entity (FISTA Solutions Inc., Wilmington, Delaware) for contracting, invoicing, and IP assignment, with an engineering center in Faisalabad, Pakistan for cost-efficient senior capacity.
  • US business-hours overlap for standups and reviews; written decision logs so nothing depends on a meeting you missed.
  • Flexible engagement: fixed-scope build, embedded forward deployed engineers, or a dedicated team that you can scale month to month.

Clear answers

What teams ask before deploying agents.

Straightforward guidance for evaluating scope, fit, and the next step.

01Can an agent answer customers about stock availability?

Yes, by retrieving from live inventory at request time, with clear language about accuracy limits where your inventory data is known to lag. The agent abstains rather than guessing when the system is unavailable.

02Can agents change prices or inventory?

They prepare proposed adjustments with evidence; an authorized user applies them. Autonomous price or stock changes create margin and audit exposure that most retailers decline.

03Will this work on our store devices?

It is designed for them: short scannable answers, large touch targets, fast session switching on shared hardware, and clear messaging when connectivity drops. Usability is tested on the devices your associates carry.

04How do you keep store and online answers consistent?

By serving every channel from one retrieval layer over the same systems of record, so the same question returns the same answer whether it comes from an associate, the contact center, or a customer online.

05How long does a retail agent take to deploy?

An associate knowledge agent can pilot within weeks where content is indexed; chain-wide rollout follows the device and training plan agreed in discovery.

Continue exploring

Related capabilities

Retail software developmentStore operations, inventory, and omnichannel systems.Knowledge and RAG agentsRetrieval agents grounded in your approved content.AI in retailField note on AI that helps stores rather than head office.

Scoped in writing before you commit

Put the answer in the associate's hand before the customer walks.

Bring the floor question, the exception queue, or the task list. The scoping call returns an agent design and a phased rollout estimate.

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