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Webscale Shopping Assistant

Conversational product discovery grounded
in real shopper behavior
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Shoppers leave when confidence breaks, not because they’re done shopping

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They cannot find the right product

Relevant experiences shorten the path from interest to purchase.
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They cannot compare products clearly

Personalized journeys keep customers coming back.
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They hesitate
and leave

First-party data reduces dependence on rented audiences.

Enhance navigation with conversation

The assistant listens, clarifies, and guides the journey forward.
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How shoppers actually buy

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Ask

Shoppers describe what they need
in plain language.
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Clarify

The assistant asks smart follow ups to remove uncertainty.
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Recommend

A short list of products, explained clearly and honestly.
Answers where they matter

Answer questions without sending shoppers elsewhere

Responses are grounded in:

Dotpoints 01 (1)

Product descriptions

File

Specifications

Layers two

Compatibility logic

Star

Reviews and documentation

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Built for control

Not a generic chatbot

Responses are grounded in:

Database 02 (1)

Constrained to your data

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Policy aware responses

Layers two

Compatibility logic

File search

Auditable chat logs

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Safe and private by design

Reversible. Auditable. Controlled.

Users check (2)

Internal users

Relevant experiences shorten the path from interest to purchase.
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QA only

Personalized journeys keep customers coming back.
Dotpoints 01 (2)

Specific cohorts

First-party data reduces dependence on rented audiences.
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Percentage
 of traffic

First-party data reduces dependence on rented audiences.

Powered by Webscale CDP and Segmentation

This is why it answers correctly.

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