Here AI/E-commerce

Every shopper understood. Every interaction grounded in live commerce data

Mira is one agent platform for the entire Commerce Customer Lifecycle, enabling brands and retailers to acquire, engage, retain and grow customer relationships continuously, in your brand voice, with every product, price and inventory claim grounded in the systems your business already uses.

[ CONTEXT ] MEMORY / 02
Grounded in your live catalogConnected to live inventoryPrices verified against your price bookPersonalized across customer channelsGrounded in your live catalogConnected to live inventoryPrices verified against your price bookPersonalized across customer channels
[ Built for ]

Commerce organizations with more customers than their teams can continuously engage

DTC brandsMulti brand retailersMarketplacesSubscription commerceConsumer brands with catalogs beyond manual reach
[ The problem ]

Customer expectations are continuous. Most commerce engagement is not

LIVE CATALOG
LIVE PRICING
LIVE INVENTORY
PERSISTENT CUSTOMER CONTEXT
[ What your customers hear ]

Every interaction informed by the relationship behind it

Shopping does not happen only during business hours. Product questions, purchase intent, replenishment needs and abandoned carts happen continuously. Mira enables brands to respond with the relevant customer context and current commerce data intact, and to remember the relationship when the customer returns.

The navy trail runners are back in your size. I saved a pair until tomorrow night. Let me know if you want them.
Mira
For a DTC retailer
You reordered the 32 oz around this time last month. Want me to set up auto refill?
Mira
For a multi brand marketplace
Yes, that bike clears 32mm tires. The specification is in the product data. Want me to compare it with the all road model?
Mira
Product information grounded in approved data
Your usual monthly roast goes out tomorrow. Want me to move the shipment back a week to line up with your trip?
Mira
For a subscription led DTC brand
[ The Commerce Customer Lifecycle ]

Acquire. Engage. Retain. Grow

01

Acquire

Mira continuously identifies high intent shoppers and relevant customer opportunities using signals across connected systems, updating its understanding as behavior, product interest and preferences change.

02

Engage

Mira coordinates product discovery, recommendations, questions, availability alerts, cart recovery and follow up using live commerce data and the evolving context of each relationship.

03

Retain

Persistent customer memory allows Mira to maintain context beyond the transaction: subscription adjustments, replenishment, reorder reminders, service interactions and reactivation, informed by what came before.

04

Grow

Mira identifies relevant opportunities to deepen customer value based on the accumulated understanding of each relationship, reflecting what the customer browses, buys, returns and prefers.

[ Trust, built for e-commerce ]

Customer engagement grounded in commerce reality

Personalization only creates value when customers can trust the information behind it. Mira connects customer engagement to the product, pricing, inventory and customer data organizations already rely on, while applying the governance rules established by the organization.

01

Inventory accuracy

Availability claims can be checked against current inventory before they are communicated. If inventory does not support the claim, Mira does not make it.

02

Price accuracy

Prices can be verified against the organization's current pricing source before execution.

03

Product claims

Product specifications and other factual claims can be grounded in approved product data rather than generated without supporting information.

04

AI disclosure, configurable by client

Organizations determine where AI disclosure is required across channels, audiences and jurisdictions. Mira applies those rules as part of execution.

05

Restricted products

Organizations can define rules and controls around restricted or age gated products so applicable workflows operate within established boundaries.

06

Audit trail

Customer interactions can be logged with the relevant data, configuration, disclosures and execution context, creating a record the organization can review and export.

The next step is a scoping conversation

Tell us where your customer relationships and commerce data live today, the product systems, pricing, inventory, customer data, channels and workflows involved. We define how Mira connects to your organization and what it takes to acquire, engage, retain and grow customer relationships through one agent platform.