Recurrency
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Up-selling Recommendations

Don't just guess what a customer might buy. 
Make intelligent recommendations and earn their trust.
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Step 1

Ingestion

Ingest historical sales data from your existing ERP system.

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Step 2

Deep Learning

We apply a state of the art deep learning, matrix completion model.

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Step 3

Scoring

We score customer-item pairs and return the highest-scoring pairs as recommendations.

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Step 4

Ranking

By using a pairing's Recurrency Score to rank its relevance, your customer conversion rate will always be maximized.

Up-selling Recommendations
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Enterprise Grade Artificial Intelligence

Recommendations you can trust from the world's leading data scientists.

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Agile

Give us a customer, we'll suggest products. Give us products, we'll suggest customers.

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Scalable

Whether you have 100 SKUs or 100 million, Recurrency can provide recommended pricing for every item-customer-date combination at the time of quote creation.

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Secure

You own your data. We'll never use your data to inform the recommendations we make for other Recurrency customers.

Use Cases

See AI-powered up-selling recommendations in action.

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Boost revenue and deepen the customer relationship

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Pinpoint new opportunities

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See the future with inventory management

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