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Industries / E-Commerce

ASC for E-Commerce

Agentic AI for every price, order, and shopper.

We bring agents into the storefront

Most AI in retail stops at a recommendation widget or a chatbot. We deploy agents that set the price, recover the cart, resolve the return, and replenish the shelf inside your commerce, order, and payment systems. Every action runs within your guardrails, stays auditable, and keeps you the merchant of record.

Agentic operations

A mesh of agents on a live decision layer

Specialized agents for pricing, inventory, service, and fraud share one decision layer and react to live signals as they arrive. The same layer exposes your catalog to outside buyer agents, so the logic that runs your store also governs how AI shopping surfaces transact with it, with you the merchant of record.

dispatchcheckoutDecision coreOrderSKU / CatalogCustomerCart / CheckoutShipmentShopifyStripeNetSuite ERPKlaviyoAlgoliaAkeneo PIMOrder FulfillmentreactingDynamic PricingreactingMerchandising & SearchreactingCustomer SupportreactingReturns & RMAreactingSignifyd fraud screeningPCI-DSS tokenizationBuyer agent

Agents react concurrently to the live stream. Hover to trace.

The full range, from assistants to autonomy

Surface

Assistants & copilots

Catalog Copilot
Drafts titles, descriptions, and SEO copy
Merchant Assistant
Answers store questions over your data
Semantic Search
Natural-language product search across the catalog
Order Alerts
Flags stockouts, delays, and SLA breaches
Review Summarizer
Condenses customer reviews into product insights
Policy Q&A
Answers shipping and returns from knowledge base
Deep

Autonomous, system-integrated agents

Order Fulfillment
Knows
warehouse zones, carrier SLAs, split-shipment rules
Tech
constraint optimization + ETA forecasting
Dynamic Pricing
Knows
price elasticity, competitor floors, margin guardrails
Tech
reinforcement learning + elasticity modeling
Merchandising & Search
Knows
product taxonomy, query intent, conversion signals
Tech
embedding retrieval + learning-to-rank
Customer Support
Knows
order states, refund policy, WISMO patterns
Tech
retrieval-augmented LLM + intent classification
Returns & RMA
Knows
return-window policy, restocking rules, fraud signals
Tech
gradient-boosted scoring + anomaly detection

One embedded team, agents across every stage

  1. 01
    Discovery
    • Merchandising & Search
    • Semantic Search
  2. 02
    Merchandising
    • Merchandising & Search
    • Catalog Copilot
  3. 03
    Pricing
    • Dynamic Pricing
  4. 04
    Checkout
    • Cart Recovery
    • Fraud Defense
  5. 05
    Fulfillment
    • Order Fulfillment
    • Demand & Replenishment
  6. 06
    Service
    • Customer Support
    • Returns & RMA
  7. 07
    Settlement
    • Fraud Defense
    • Chargeback Representment
Selected work

What we have built in e-commerce

Representative engagements, anonymized. Each began with one workflow where autonomy moved the business, shipped to production.

Dynamic pricing

A mid-market DTC apparel brand

Problem

Pricing across 14,000 SKUs was reset manually on a weekly cadence, so the team chased competitor moves days late and left margin on the table every season.

What we built

ASC built a pricing agent that reads live demand signals, competitor feeds, inventory depth, and markdown rules from the brand's commerce platform, then proposes and writes price changes back to the catalog through the existing PIM API, with a human approval gate on any move outside set guardrails.

Outcome

Prices now adjust in real time within margin floors the brand controls, and contribution margin rose 9 percent against the pre-engagement baseline.

margins +9%

Demand & replenishment

A national home goods retailer

Problem

Replenishment ran off static reorder points in the ERP, leaving roughly 30 percent of working capital in slow-moving stock while best sellers went out of stock during promotions.

What we built

ASC built a forecasting and replenishment agent that pulls sell-through, seasonality, and supplier lead times from the ERP and warehouse system, generates per-SKU per-location order proposals, and drafts purchase orders for buyer review inside the tools the planning team already uses.

Outcome

Carried inventory fell 32 percent against the prior year while in-stock rates on top sellers held, freeing working capital the retailer redeployed into assortment.

inventory -32%

Fraud defense

A high-volume online marketplace

Problem

Manual review queues could not keep pace with order volume, and friendly-fraud and stolen-card chargebacks were running high enough to threaten the marketplace's processor standing.

What we built

ASC built a fraud-defense agent that scores each order at checkout against device, behavioral, and payment signals, auto-clears clean orders, holds ambiguous ones with an evidence summary for the risk team, and files structured representment packets through the payment gateway on disputes.

Outcome

Chargebacks dropped 68 percent against the baseline period while approval rates on legitimate orders held steady, keeping the marketplace well inside processor thresholds.

chargebacks -68%

The platform

The stack lives in your tenant. Agents act on a decision layer built from your systems, every action audited and reversible, with ownership transferred to your team.

Impact

Outcomes you can underwrite

Gain an advantage

  • Margins up 5 to 15 percent with faster inventory velocity.
  • Inventory cut 30 to 35 percent and chargebacks down 60 to 75 percent.
  • Guardrails built in: spend limits, policy checks, and human sign-off.

Deliver at speed

  • Prices and markdowns adjusted in real time, not on a weekly cadence.
  • Most common service questions resolved in the moment, around the clock.

Put agents to work in e-commerce

Start with one workflow where autonomy moves the business, and we ship it to production.