TapAsko

Develop by TapAsko

Free plan available

Accelerate sales with LLM-powered Store Assistant

Multi-language support

Conversation analytics

Llm-powered assistant

User intent interpretation

Relevant product suggestions

Increased seller-buyer interaction

Reduced conversion time

Expandable knowledge base

About TapAsko

Launched Jan 11, 2024

Built by TapAsko

Email :

[email protected]

Address

Pavlodar, KZ

Website Privacy policy

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Description

Accelerate sales with LLM-powered Store Assistant

TapAsko is an LLM-powered store assistant that uses the store's database to provide answers to customer questions. It interprets user intent, delivers more relevant product suggestions, improves the interaction between sellers and buyers, and reduces time to conversion.

Pay As You Go: Pay only for message generation
AI-Driven Interactions: Converting browsers into buyers
Expandable Knowledge: Easily add files for new insights
Chat Control Center: Analyze conversations
Multi-Language: Supports 50 languages

Pros

Utilizes LLM technology for enhanced natural language understanding, potentially improving customer interaction quality
Uses the store's own database for tailored and relevant product recommendations
Interprets user intent effectively, which may lead to quicker and more accurate responses to customer inquiries
Can improve the interaction between sellers and buyers, potentially leading to higher sales conversion rates
Offers a 'Pay As You Go' model, which can be cost-effective for businesses
AI-driven interactions aim to convert casual browsers into purchasers, potentially increasing sales
Supports 50 languages, making it accessible for a wide range of international customers
Has an expandable knowledge feature that allows for easy addition of files for new insights
Includes a Chat Control Center for analyzing conversations, which can be useful for improving service and training

Cons

As with any AI-based system, there may be limitations in understanding complex or nuanced customer inquiries
Relying on the store's database might limit its ability to provide broad product suggestions if the database is not comprehensive
The effectiveness of the 'LLM-powered' assistant depends on the quality and quantity of the data it is trained with
Businesses need to ensure data security and privacy when integrating their databases with TapAsko
The 'Pay As You Go' model might lead to unpredictable expenses for businesses with fluctuating message generation needs