E-COMMERCE RETAIL

Catching short-ships before the customer does, for an online supplement retailer

The retailer buys just in time from distributors, so some orders cannot be filled and customers find out late. Wexa built two agents that check stock across the retailer's shelf and distributor DCs, and offer an equivalent product before the customer has to ask.

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agent flows: stock check and substitution
ERP tables integrated with the storefront
of outbound customer emails approval-gated
disease claims: regulatory wording guardrail

CLIENT: US online nutritional-supplement retailer (just-in-time from distributors)
REGION: US
WHEN: 2026
ENGAGEMENT: Solution build
WEXA COMPONENTS: Wexa SDK · e-commerce and ERP connectors · context graph · 2 agent flows · approval gate

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The challenge

Distributor short-ships discovered by the customer
Substitutions decided by hand, product by product
Supplement marketing rules on what an email may claim

What Wexa built

Storefront order → ERP → stock-check agent across own shelf and distributor DCs, using fill-rate history
Substitution agent: same primary ingredient, comparable dose, ships today, never costs more
Customer offer page: swap, wait or cancel; ERP and storefront updated
Compliance guardrail blocks disease claims and appends the required disclaimer
Multi-tenant: each Wexa project is its own store; deployed on Kubernetes

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How it runs on Wexa

FigureHow this use case runs on Wexa: client systems connected, ontology discovered, context graph in the Wexa memory layer, agents and process flows, and governance. Highlighted components are central to this use case.

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Results

Measure	Before / without Wexa	With Wexa
Short-shipped orders lost or handled by hand each month	600 orders, 1 FTE	240 orders, automated
Annual cost of the process	$351K	$131K
Time to implement the AI solution	4 months	4 weeks
AI build cost (one-time)	$192K	$15K
AI operating cost per year (models, infrastructure, upkeep, platform)	$141K	$69K
Total AI cost in year 1	$333K	$84K