AI Agents for Retail and E-commerce
Intelligent Product Journeys Connected to Operations
We design agents that help customers discover the right products, resolve order questions, coordinate returns, and monitor inventory — each one connected to your commerce and fulfilment systems, and each one operating inside permissions your team defines.
01
Operating Context
Retail and e-commerce teams operate across more surfaces than ever: a storefront, marketplaces, social channels, email, and support inboxes — each generating questions that pull staff away from higher-value work. The questions themselves are rarely novel. Does this fit? Where is my order? Can I return this? The answers exist, but they sit in a commerce platform, a PIM, a warehouse system, and a carrier portal that rarely talk to each other.
That fragmentation is where journeys break. A shopper who cannot get a sizing answer late at night abandons the basket. A support rep who has to open four systems to answer one tracking question resolves fewer tickets. A storefront showing stock the warehouse no longer holds produces the worst outcome in commerce: a confirmed order that cannot ship.
Alpha Expansion builds agents that sit across those systems — reading from live, approved sources, preparing actions for confirmation, and executing approved workflows within the permissions your team defines. Customers get faster answers, and your team keeps control of every order, refund, and record.
02
Operational Challenges
Where the Work Slows Down
Repetitive Product Questions
Sizing, compatibility, materials, care — the same questions arrive every day, and every answer already exists in your product data, unreachable at the moment a customer asks.
Catalogue Complexity
Thousands of SKUs, variant matrices, and seasonal ranges make filter-based navigation a chore. Customers who cannot find the right product quickly assume it does not exist.
Abandoned Journeys
Shoppers leave at the exact moment a question goes unanswered — a delivery date, a returns condition, a specification — and rarely come back to ask it a second time.
Fragmented Order Support
Order status lives across the commerce platform, warehouse, and carrier. Answering "where is my order" means a support rep swivelling between systems while the customer waits.
Manual Return Handling
Every return means checking eligibility, generating a label, tracking the item back, and timing the refund — policy-bound steps that get handled case by case, by hand.
Inventory Uncertainty
When the storefront and the warehouse disagree, you either oversell stock you do not have or hide stock you do — and both cost real orders.
03
Purpose-Built Agents
Six Agents Designed Around This Work
01
Product Discovery Agent
Turns a large catalogue into a guided conversation, narrowing thousands of SKUs to the handful that fit what a customer actually needs.
Commerce platform, PIM, inventory, analytics
Recommendations come only from the approved catalogue — any product claim the agent cannot verify in the PIM is routed to a person rather than guessed.
02
Shopping Assistant
Supports customers through the pre-purchase journey, answering the questions that stall decisions and preparing the basket for them to complete.
Commerce platform, PIM, fulfilment, promotions engine
Checkout and payment stay entirely with the customer; the assistant prepares the basket but never places an order or handles payment details.
03
Order Support Agent
Resolves order-status and order-change questions by reading directly from the systems where the answers actually live.
Commerce platform, warehouse management, carrier tracking, customer support, CRM
Any change that alters an order — cancellation, address edit, resend — executes only through an approved, logged workflow, and payment disputes always go to a person.
04
Returns Agent
Coordinates the returns process from eligibility check to refund, keeping every step inside your published policy.
Commerce platform, fulfilment, warehouse, payments, customer support
Refunds execute under explicit authorization rules your team sets — automatic only where you allow it, human-approved everywhere else, and logged in every case.
05
Inventory Monitoring Agent
Watches stock across storefront, warehouse, and sales channels, and raises discrepancies before customers ever see them.
Inventory management, warehouse, commerce platform, marketplace channels, analytics
This agent reports and flags; stock adjustments and purchase orders remain human decisions, taken from the summaries it prepares.
06
Customer History Agent
Assembles each customer's full history so every conversation — human-led or agent-led — starts with complete context.
CRM, customer support, commerce platform, analytics
Customer data is retrieved for the conversation at hand and nothing more — profile changes beyond routine updates are confirmed with the customer before they are written.
04
Example Workflow
One Request, End to End
05
Systems Landscape
Connected to the Systems That Run the Work
06
Human Control & Governance
Governed From Catalogue to Checkout
In commerce, a wrong answer has a price: an oversold item, a refund outside policy, a delivery promise you cannot keep. Every agent we build answers product, stock, delivery, and policy questions only from live, approved sources — never from memory. Payment and refund operations execute solely under explicit authorization rules your team defines, with every action attributable and reviewable.
07
Questions
Frequently Asked Questions
Map One Retail Workflow
Pick the workflow that consumes the most of your team's day — order status, returns, or product questions — and we will map it with you: the systems it touches, the data it needs, where approval sits, and where a person stays in the loop. From there, you will know exactly what an agent can carry and what it should not.