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It is an app that we created to help our users find a perfect gift for anyone they want almost with a press of one button.
We believe that this app will solve the gift-giving dilemma forever.

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With Smappy you can find a cool gift among the vast range of presents provided by our shops-partners

If you didn't like the gifts from our shop-partners, you could always try to find the right present in our chain store catalog (Amazon, Walmart, eBay, etc.)

Did the gift choice surprise you and there is no time for any afterthought? You can call our recommendation system for help

Achievements

We're on Playbook

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Smappy - the fastest way to choose a gift

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If you love to give unusual and memorable gifts, then Smappy is for you! Now you only need to enter the username of the gift receiver in social networks, and our neural network will immediately find the right gift for you.

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It is the fastest way to choose a gift

With Smappy you can find a cool gift among the vast range of presents provided by our partners

If you didn't like any gifts from our partners, you could always try to find the right present in our chain store catalog (Amazon, Walmart, eBay, etc.)

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Machine learning algorithm - unique algorithm to define the gift receiver’s interests

Personal approach - “Smappy” accurately analyses gift receiver preferences to recommend presents, while other platforms provide only a couple of questions to make a gift compilation

Easy to use - search by tags, price, event, reviews and country

Creativity incentive - as the number of shops on the platform increases, shops suggest more and more creative gifts to survive (there is a competition going within an app)

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Political: political stability, international relations (if something will go wrong - it will be difficult for us to collaborate with other countries from Russia)

Economic: purchasing power of consumers, change in demand for gifts

Social: gift culture, holiday value, gift trends

Technological: innovation, artificial intelligence and machine learning, trend of deep analysis via neural networks, social networks for selling gifts

Legal: exclusive rights on the company’s intellectual property

Environmental:by decreasing the level of unwanted gifts using the deep personalization, the company helps in trash reduction

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Solution for the gift giving dilemma and what makes us unique

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Solution for the gift giving dilemma and what makes us unique

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Fast gift choice - machine-learning algorithm collects open-source data from the gift receiver’s social networks and suggests relative gifts.

Creative range of presents - to avoid the boring gift patterns our teams decided to partner with gift shops that have a unique assortment of usually hand-made goods.

Works even with the lack of data - in case of gift receiver’s modesty or unwillingness to share information in social networks, the app enables to choose a gift by entering interests like tags.

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Our business model is both B2C (business to customer) and B2B (business to business): we charge our customers for using the gift recommendation system on the subscriptions basis (approx. 2$ per month) and we partner with small businesses providing a unique range of gifts for our platform which is crucial for the customers.

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Our current KPI’s are:
1) Achieve 300K audience reach in November and maintain it during the year
2) Help to sell more than 25K gifts on our platform

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Our main target audience is young and trendy people (18-35 years old). These people do not have much time on thinking about the creative gifts.
Total addressable market of Smappy is global gifts retailing market which is estimated as USD 77 billion.

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Our biggest competitors are Giftagram and Token.
Competitive advantages relating to Giftagram are vast partnership with the gift shops and developed machine learning algorithm.
Concerning Token, it is a platform especially dedicated to corporate gifts which is not a primary field of Smappy.

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Strengths:

High barriers to entry

Experienced co-founders

Motivated team

Limited competition in our location

Patented deep-personalization system

Limited startup risk

Very high gross margins

High-end mobile app

Highly visible website

Weaknesses:

Competitors can offer similar service (our company has all rights related to the deep personalization system, however, competitors may copy the technology using workaround)

Limited startup costs

Limited flexibility in pricing

Opportunities:

Acquisition of additional rounds of capital

Affiliate relations with affiliated vendors

Development of wholesale distribution relationship

Threats:

Changes in existing regulations can impact the business

Products are already sold by major competitors

Insurance costs are continually increasing

Increase in price input can cause upward pricing

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We have made a questionnaire for our target audience and this is what we found out

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We have made a questionnaire for our target audience and this is what we found out