Join the [Contextual] Revolution

Contextual commerce driven by generative AI will revolutionize shopping. It will bring organic interactivity, rich engagement, and emotional depth to the shopping experience, online and in-person.

Engenai’s Virtual Shopping Companion

Building blocks from the Engenai Virtual Shopping Companion can serve a variety of use case scenarios throughout the shopping experience to create interactive, conversational commerce.

Engenai Guided Search Powered by Generative AI

Engenai Creates Magical Experiences for Your Customers

Improve zero, low, and irrelevant (ZLI) results.
For example: pluralization, transposition, typos, synonyms

Engenai Use Case - Customer, Semantic Search, Before

No Search Results
blocked at dead-end with poor-performing queries

Engenai Use Case - Customer, Semantic Search, After

Semantic Search Results
more relevant and meaningful

Provide relevant subject matter expertise to educate and inform.
For example: guided search, inline details, virtual assistant

Engenai Use Case - Customer, Search Results

During Discovery
presented as part of search results

During Research
presented in-line or in a chat assistant

Automatically curate dynamic, tailored content pages.
For example: gift guides, theme pages, merchandising

Engenai Use Case - Customer, Landing Page, Static

Static Landing Pages
manually curated collections

Engenai Use Case - Customer, Landing Page, Dynamic

Dynamic Landing Pages
automatically generated based on semantic criteria

Guide shoppers with dynamic, semantic filters to discover items.
For example: fitment, multi-sku, perfect fit, buying guides

Engenai Use Case - Customer, Product Finder, Many Clicks

Many Clicks Required
unclear how to edit selections on final page

Engenai Use Case - Customer, Product Finder, Few Clicks

Few or No Clicks Required
semantic search and dynamic filters

Suggest relevant complementary products for that specific shopping context.
For example: cross-sell, upsell, downsell

Engenai Use Case - Customer, Personalized Content, Standard

Manual Product Mappings
requires explicit product mappings

Engenai Use Case - Customer, Personalized Content, Intelligent

Semantic Mappings
automates semantic, contextual matches

Display context-specific content that reassures the customer of their purchase.
For example: reviews, returns, guarantees, incentives

Engenai Use Case - Customer, Purchase Assurnace, Standard

Poor Weighting and Irrelevant Results
returns all matching keywords weighed equally

Engenai Use Case - Customer, Purchase Assurance, Intelligent

Semantic Results
displays only semantically relevant results

Engenai’s Enterprise Intelligence

Empower your people with the right information at the right time. Unlock unparalleled insights and drive strategic decisions with the transformative power of generative AI.

Engenai Enterprise Intelligence Powered by Generative AI

Engenai Creates Magic Behind the Scenes for Your Business Too

Enhance, refine, and improve raw data by adding additional information or context.
For example: generative descriptions

Engenai Use Case - Business, Data Enrichment, Factual Information

Factual Information
useful for keyword searches and comparing attributes

Engenai Use Case - Business, Data Enrichment, Descriptive Information

Descriptive Information
useful for conveying context and human evaluation

Process complex information from disparate sources.
For example: customer personas, explanation of key items from a bill

Engenai Use Case - Business, Data Summarization, Customer Personas

Summarize Information
analyze and generate key summary data

Engenai Use Case - Business, Data Summarization, Data Aggregation

Disparate Data Sources
aggregate information from different sources/formats

Uncover patterns, generate hypotheses, and provide new perspectives on existing datasets.
For example: anomaly detection, predictive simulations

Engenai Use Case - Business, Data Insights, Receipts

Different Data Formats
data can be extracted from various formats

Engenai Use Case - Business, Data Insights, Output

Generative Insights
novel observations unavailable with standard models

Extract data from complex documents in different formats and automatically prepare forms.
For example: analyze budget docs, fill out order forms

Engenai Use Case - Business, Document Analysis, Extraction

Document Analysis
automate data extraction and analysis

Engenai Use Case - Business, Document Analysis, Generation

Document Generation
automate creation and preparation of documents

Leverage KBs, increase context awareness, and dramatically decrease resolution time.
For example: self-service L0 support, enhanced L1 support

Engenai Use Case - Business, Customer Service, Chat Assistant

Chat Assistant
can assist employees or customers directly

Engenai Use Case - Business, Customer Service, Knowledge Bases

Knowledge Bases
gather expertise from public and proprietary data

Simplify workflows and de-couple from product and tech dependencies.
For example: dynamic email campaigns, live event posting

Engenai Use Case - Business, Generative Marketing, Tweet About Rihanna at Met Gala

Untethered Real-Time Marketing
generated ad hoc, parameters passed in hyperlinks

Engenai Use Case - Business, Generative Marketing, Dynamic Landing Page

Dynamic Landing Page
reads inbound queries and presents relevant content

One Day or Day 1?

You can begin taking advantage of generative AI today without disrupting your business operations. Engenai can help you strategically implement AI at the edges and begin harvesting value today. Let us show you how.