Winners are announced.
Watch the finale below!
Kirana stores are a key conduit of consumption in India. We find them on every nook and corner. Out of total 12 mn stores across the country, 10 mn stores lie in rural areas. These 10 mn rural stores remain underserviced by traditional distribution networks of CPG/FMCG brands because they are too far, too less in number and their demand is too less to fulfill.
ElasticRun technology is changing this scenario by enabling a direct reach to these rural stores through crowdsourcing and aggregation. ElasticRun is empowering rural entrepreneurs with better earning opportunities and it is also enriching lives for rural consumers by making multiple life enhancing products available to them. It is a network of opportunities. It is a network of possibilities.
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The Hackathon is divided into 3 phases:
Phase 1: Approach Submission (Submit on this page)
Participants are required to form teams with 1-5 members, and submit the approach that they will use to solve the problem statement of their choice given in the themes section. It is mandatory to submit your approach in this specific format - click here to download the format. You need to submit a PPT in the approach format. If you do not submit your approach in the given format you will not be eligible.
Phase 2: Prototype Submission (Another link will be provided)
Shortlisted teams from the approach submission phase will be promoted to the Protoytpe Submission phase. In this phase, team leaders will be sent an invite to solve the problem statement that they had opted for in the approach phase. Teams need to work together on their local systems, but only team leaders will received the invite to make submit on the platform. This round will take place in a separate link/ page which will be shared to team leaders of shortlisted teams when the time comes.
Phase 3: Onsite Presentation Round
Shortlisted participants from the prototype submission round will be invited to participate in the onsite final presentation round to be held in Pune! The address of the ElasticRun Pune office is ElasticRun, 2nd Floor, Wonder Cars Arena Bldg, Pimple Saudagar, Pune - 411027. Click here for the location.
Note: ElasticRun will not reimburse or compensate for any costs associated with travel or lodging for the event.
It is mandatory to submit your approach in this specific format - click here to download the format. You need to submit a PPT in the approach format.
We will be doing the evaluations in 2 batches:
Problem Description -
Develop a ML system to determine relevant products for a store based on its past transaction history. These suggestions can be used in multiple sales channels to the store like self ordering app, sales executive PDA or by a calling agent to ensure that store is not missing out on any of these relevant products.
Train a model on the given dataset to predict each customer's next order
Participants may make the following assumptions
Evaluation Criteria -
Submit your approach on how you will solve this problem. The full problem statement will be revealed if you are shortlisted for the next phase.
Problem Description
Given a store’s image, try to predict:
Background
Computer vision can help better understand the store. Knowing the size of the store and the kind of products it sells would feed back into the personalisation engine for customized products and offers to the store.
Stores exist in different sizes and shapes in India and hence it makes this image processing and analysis problem more interesting.
Participants may make the following assumptions
Evaluation Criteria
Submit your approach on how you will solve this problem. The full problem statement will be revealed if you are shortlisted for the next phase.
Floor design and SKU storage is a standard problem statement for any warehouse. For micro warehouses, a cost efficient and simple solution needs to be devised which can be used on laptop and mobile devices seamlessly, with below objectives.
A station manager of a warehouse should be able to upload a warehouse floor plan (2D) and sketch the storage areas per category (biscuits, soaps, shampoos, chips etc.) and tag those areas with category names.
A sample floor with tagged areas and highlighted heat map can be visualized as under -
Submit your approach on how you will solve this problem. The full problem statement will be revealed if you are shortlisted for the next phase.