Start a proof of concept

Deliver Amazon-quality recommendations in days

Use Avahi’s AWS-powered engine to serve the right products, content and offers at the perfect moment and grow revenue without guesswork.
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Why you’ll love Avahi recommendation engines

Real-time personalization with Amazon Personalize models that learn from every click.
No customer data leaves your AWS account, keeping privacy and compliance intact.
Multichannel delivery serves web, mobile, email and in-store displays from one API.
Automated A/B testing finds the best strategy and improves lift continuously.
Pay only for data processed and inference calls so cost scales with growth.
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How it works

01

Discovery workshop

Map data sources, target metrics and user journeys in a one-hour session.

02

Pilot model

Ingest clickstream, catalog and event data into Amazon Personalize; validate lift on a subset of users.

03

Production rollout

Deliver recommendations through Lambda and API Gateway, pushing results to your site, app or CRM.

04

Optimise and expand

Add new data signals, run A/B tests and surface performance in QuickSight dashboards.

Download Solution Brief

Industry use cases

Industry
Example use case
Retail and e-commerce
Show frequently bought together bundles and next-best offers to increase average order value.
Media and entertainment
Recommend shows or articles based on viewing history to boost session length.
SaaS and B2B
Suggest help-center articles and in-app tutorials to speed onboarding and reduce churn.
Finance
Offer relevant financial products and tips based on spending patterns and life events.

What our customers
are saying

Personalized product feeds from Avahi lifted our conversion rate by 18 percent in the first month. Integration was painless and performance is lightning fast.
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Miguel Santos

VP Ecommerce, TrendWave

Key Result

96 percent client satisfaction

Up to 30 percent boost in revenue per visitor across live projects

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How ShopSmart added four million dollars in revenue with personalized recommendations

Challenge

A fashion retailer offered static product grids that failed to surface relevant items, leading to low engagement.

Solution

Avahi ingested browsing and purchase data into Amazon Personalize and delivered real-time product and size recommendations across web and email.

Results

Conversion rate up 18 percent

Average order value up 12 percent

Four million dollars in incremental revenue within six months

Frequently
Asked Questions

How much data do we need to start?

Strong results appear with as little as one hundred thousand events, and models improve as more data flows in.

Can the engine handle cold-start items?

Yes. We combine item metadata and content-based filtering to recommend new products from day one.

How is pricing structured?

You pay for data ingestion, training and the number of recommendation queries. Most clients see a positive ROI within the first quarter.

Ready to personalise every customer touchpoint?

No credit card required. An AWS Solutions Architect will respond within one business day.
No credit card required. An AWS Solutions Architect will respond within one business day.

Talk to an AWS Expert

Download Solution Brief