PriceSmartly

artificial intelligence/machine learningwealthtech-retailpersonal finance management

FOUNDING YEAR: 2018
LOCATION: Singapore
Last Update: 08/09/2020

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About

PriceSmartly aims to help consumer and businesses achieve price savings by crowd sourcing price data or data sets directly from merchants

MEDICI Analysis

PriceSmartly help individuals and business users to achieve price savings by crowdsourcing price data or data sets directly from merchants. It will be using AI technology in its platform for Smart Shopping feature to achieve price savings. Currently the company in the Beta Stage.

Focus

PRODUCTS & SERVICES

PriceSmartly aims to help consumer and businesses achieve price savings by crowd sourcing price data or data sets directly from merchants

REVENUE MODEL

Advertisement, Banner Placement, In App Purchase (Cross Border Price Comparison, Stickers), Lead Generation, Sales Commission

PRIMARY PROBLEM SOLVED

PriceSmartly aims to help consumers and businesses achieve price savings by crowdsourcing price data or data sets directly from merchants

INTELLECTUAL PROPERTY

Patent(s) NOT_FILED

Traction

REVENUE

$0 - $99k

company provided insights

People

BOARD MEMBERS AND ADVISORS

Kunal Patel

company provided insights

Momentum

FUNDED

NO

LISTED

NO

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PriceSmartly

About

PriceSmartly aims to help consumer and businesses achieve price savings by crowd sourcing price data or data sets directly from merchants

Focus

PRODUCTS & SERVICES

PriceSmartly aims to help consumer and businesses achieve price savings by crowd sourcing price data or data sets directly from merchants

REVENUE MODEL

Advertisement, Banner Placement, In App Purchase (Cross Border Price Comparison, Stickers), Lead Generation, Sales Commission

TOP PROBLEM SOLVED

PriceSmartly aims to help consumers and businesses achieve price savings by crowdsourcing price data or data sets directly from merchants

PRODUCT DEVELOPMENT STAGE

PROTOTYPE

KEY DIFFERENTIATORS

1. Compare price with local shops and major retailers to achieve price and time savings 2. AI Recommendation System 3. Machine Learning For Personalization 4. Online & Offline Pricing Strategies

PRIMARY CUSTOMER TYPE

Enterprise - Retailers

Enterprise - Others

Small and Medium Business - Physical Retail

Small and Medium Business - Online Retail

Small And Medium Business - Other

Consumer

PRODUCT ATTRIBUTES

Customer facing

Other

Traction

ANNUAL REVENUE:

$0 - $99k

LIVE USERS/TRANSACTIONS:

No live users/transaction yet

CHANNEL STATUS

NO SALES YET

People

TEAM COMMENT:

Committed to help consumers,business reach their goal of price,time savings using latest technologies available in the market

Momentum

FUNDED

YES

FUNDING COMPLETED

NO

LISTED

NO