CRISIS HEROES
Problem
Delays in doing shoppingPeople have to wait in long queues and risk infections. Delays in deliveryPeople have to wait a long time for delivery Retail companies struggle to organize their last-mile deliverySome people lost their jobs or have decreased salarySuch people may be looking for some additional opportunities for earning money Some people have some things to be done but done have to go outside and risk infectionE.g., going out with a dog, delivering documents |
Solution
For retail companies: we can help organize last-mile delivery better -> save time and money, increase the number of salesFor customers: we may help them submit orders/requests and find a hero who can help them get things doneFor deliverers: we can match them optimally with customersThey can earn more money and public esteem - they will become heroes! |
Unique Value Proposition
Matching 3 groups of people/organizations in need - thanks to that, they can easier help each otherMatching 3 groups of people/organizations in need: Reducing time of delivery -> from many days to a couple of hoursThanks to employing individual deliverers we can improve the existing supply chain (especially last-mile delivery) and significantly reduce the delays in delivery (which have reached many days during the pandemic). Reducing cost of delivery by at least 4%Thanks to using advanced optimization algorithms (solving the so-called Capacitated Pickup and Delivery Problem with Time Windows), we can improve the existing supply chain, especially: last-mile delivery. Simplifying and accelerating the process of buying products onlineWe will combine information about the offers of many stores, so it will be easier to buy products from many places in just a single (for a given city) virtual marketplace. Support for disabled people, olders and people at riskThanks to the speech recognition technology and text to speech, people can submit their orders by phones, without smartphones or access to the Internet. They will not have to go out and risk infection in order to get their things done. Digitalizing supply chain and making it more sustainableThe supply chain (at least last-mile delivery) will be more efficient and digitalized thanks to mobile, web and voice interfaces, AI and advanced optimization algorithms, as well as Blockchain technology to ensure trust and transparency. Trust built based on recommendationWe are going to introduce a system in which our users can recommend one another in order to give credibility to the others (especially individual deliverers). |
Unfair Advantage
Ai for sppech recognition and text to speech technologyThanks to that, we can communicate with our customers calling by phone on by Internet, so that they can submit they orders faster, while we can potentially save a lot of money. A similar service based on call centers with hundreds of people will not be scalable. Integrating data from many stores -> reducing time of searchingWe will be integrating data from many stores and thanks to that we will reduce the time of users to search over many websites. Advanced algorithms for matching customers, stores and deliverers -> reducing time and cost of delivery and planning logisticsWe are familiar with the best algorithms for solving such combinatorial optimization problems in order to reduce cost and time of delivery. DataAfter launching our platform, we will be gathering a lot of data about customers' actions, so we can constantly improve our algorithms (and AI algorithms can self-improve) and give the users better and better recommendations, reducing time and cost more and more. Using Blockchain technology -> increasing trust and securityThis is a long shot, but at some point, we can start saving our transactions or at least recommendations of people on Blockchain to ensure trust and increase security. Community od deliverers and customersWe are organizing a community of people and companies helping each other in a given city (e.g., we have a Facebook group where our customers and deliverers may communicate). Our idea is that they can give recommendations to one another in order to build trust and credibility. |
Customer Segments
Customers buying products and submitting requests/needsThese may be all individual people or companies. Stores [paying on a later stage]We may help them sell more products online and organize their last-mile delivery better. We let them advertise through our website. Deliverers [paying on a later stage]Individual people or companies willing to deliver products from stores to customers or helping people in other initiatives. |
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Key Metrics
Saved time of customersCustomers can save time of doing shopping. Reduced time of delivery from many days to several hoursThanks to more deliverers and efficient algorithms, the customers buying products online can have their shopping delivered much faster. Saved money of customersThanks to integrating offers from many sources, the customers can easily find the best offers. Thanks to using optimization algorithms, we can reduce the cost of delivery which may also later implicate lower costs from customers. Reduced environmental impactThanks to using optimization algorithms which can aggregate products from many customers and reduce the travelled distance, we can also reduce the negative environmental impact and make the supply chain more sustainable. |
Channels
Advertizing in the InternetAdvertising in the Internet on social media channels, e.g., Facebook ads, Google ads. Direct contact with retailers and logistic companies(Virtual) conferencesVirtual conferences, events where we can promote our platform MediaTV, radio, press |
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Cost Structure
Computational infrastructureCost of (virtual) machines, software, electricity. Human resourcesWe need employees to operate and maintain our platform, working on developing our algorithms and software further, business development, administration etc. DataIn order to give good recommendations, we may need good quality traffic data (e.g., travel times from Google Maps API). MarketingIn the beginning, we may need to advertise on Facebook or using Google Ads. Cost of a payment systemCost of credit card charge from the PayPal, Google Pay, mollie.com payment systems. About 2.0% per each transaction |
Revenue Stream
Membership feeOur customers (and later stores and delivery companies) can get access to our platform using a customized membership fee. AdvertisementsAfter getting traction, we can potentially offer opportunities for the stores to advertise their products |
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