Nikhil Dhamija
Foodpanda
Foodpanda is the global name in mobile food delivery business serving 40
countries across the world. Their service allows customers to find a restaurant
near to your location and order food online directly from that restaurant.
Foodpanda has a global base of more than 58000 restaurants, which includes
13000 only in India.
Though being offered a profile of Lead
Generation, company being a start-up was open to give all sorts of experience
and giving chance to interns to prove their metal. The 2 months of experience
can be broadly classified as:
- Customer Mapping
- Restaurant Classification
- Lead Generation
- Inbound Leads Processing
- Area clustering for on-field sales
- Business model to bring kitchens on-board
Customer
Mapping:
With the extracted data from a business
analysis report, find the number of hits for restaurants in particular area,
number of order selection and number of converts. The ratio of number of order selection to
the number of hits for restaurants gives us the satisfaction level of customers
with number of restaurants in those areas. If the ratio is less, all the restaurants that are in
those area and are not on-board are the top-most priority and are termed as
Sales Coverage Target Partners (SCTP). The ratio of number of converts to the
number of order selection defines flawlessness of our online payment process
and if the ratio goes less in some particular weeks raises red flags for the IT
department. Mapping of areas on Google maps, checking
overlapping of different areas and mapping of restaurants in those areas makes
situation clearer to find SCTP restaurants.
Restaurant
Classification:
Classifying restaurants by the area they
fall in and number of hits they are expected to get before bring them on board
Lead
Generation:
To find new leads for sales team from Zomato
in a particular city. Developing leads with suitable fields on salesforce.
Inbound
Leads Processing:
Leads that approach foodpanda to get
registered, I use to collect their information, making them understand the
policies, settling commission margins and finally contracting.
Area
clustering for on-field sales:
Clustering Delhi NCR area in different
clusters and assigning on field head counts for different days in different
areas.
Business
Model to bring Kitchens on-board:
Market research to understand the business
structures of online kitchens in India and customizing foodpanda services to
bring them on-board. Initiated daily changing menus in
foodpanda which was must for contracting these Kitchens.
Overall Experience of working for
Foodpanda was amazing and got a glimpse of how e-commerce industries are setup,
their working models and the factors involved in better management and being
Competitive in market.
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