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Week 4 | Session 2: Introduction to Platform Economy

Course: Supply Chain Digitization — Module 3: Digital Business in SC



Why Platform Economy? — The Problem Statement

Section titled “Why Platform Economy? — The Problem Statement”

Example 1 — The Spice Search (B2C, Information Gap)

Section titled “Example 1 — The Spice Search (B2C, Information Gap)”
B2C Example

Setup: A customer in Rajasthan wants to cook a specific dish that requires a rare spice. The spice is not available locally.

Customer’s options without information:

OptionOutcome
Cook without the spiceNeed goes unmet — unsatisfying outcome
Substitute with another ingredientNeed is partially met — compromise decision

The missed opportunity:

The spice is available — in Delhi. But the customer does not know this. Had the customer known, they could have called the vendor, placed a delivery order, or arranged to collect it.


Example 2 — The Compressor Manufacturer (B2B, Reach & Transaction Cost)

Section titled “Example 2 — The Compressor Manufacturer (B2B, Reach & Transaction Cost)”
B2B Example

Setup: Company XYZ manufactures high-quality compressors and wants to sell internationally. Their current approach: send salespersons to international exhibitions.

The sales process:

  1. Demo the product at the exhibition → network with potential buyers
  2. Convince a mid-size manufacturer to consider the product
  3. Multiple rounds of negotiation, site visits, and competitive bidding
  4. Result: 1 sale made after a long, expensive process

The problem:

IssueDetail
Low volumeOne sale cannot recover the cost of exhibition attendance, travel, and salesperson time
High customer acquisition costMore exhibitions + more salespeople needed to scale → cost grows proportionally with every new customer
No leverageWith only a few buyers, XYZ has limited negotiating power on pricing

The missed opportunity:

If XYZ could reach more buyers faster — at lower cost — volume would grow, negotiating power would improve, and the business model would become viable.


Example 3 — The Food Delivery Matching Problem (B2C, Matching & Decision)

Section titled “Example 3 — The Food Delivery Matching Problem (B2C, Matching & Decision)”
B2C Matching Example

Setup: A company offers same-day or 10-minute delivery from cloud kitchens. A customer orders two items from two nearby cloud kitchens — for example, a main dish and a dessert.

What happens (current system): Two separate delivery partners are dispatched — one per kitchen — resulting in two separate doorbell rings.

Problems created — even though the need is technically met:

ConsequenceImpact
Poor customer experienceTwo separate deliveries feel fragmented and unprofessional
Risk of losing the customerCustomer may stop ordering from one or both kitchens in future
Competitor switch riskFrustrated customer may switch to a competitor platform entirely
Second customer unservedBoth delivery partners are occupied → another customer who places an order gets no delivery → a second lost transaction

The missed opportunity:

One delivery partner could have picked up both items — the two kitchens are nearby. The second partner would then be free to serve another customer. Two customers served; two orders fulfilled; better resource utilisation.


ExampleProblem TypeCore Issue
Spice (B2C)Information gapBuyer unaware that supplier and product exist
Compressor (B2B)Reach & transaction costSeller cannot scale outreach cost-efficiently
Food delivery (B2C)Matching / assignmentWrong resource assigned to wrong order

All three problems reduce to two root causes:


What a platform provides:

Visibility ElementExamples
PlayersBuyers, sellers, logistics providers, financial institutions, government bodies
PricesCurrent market prices across multiple sellers in one view
Product / service characteristicsImages, specifications, ratings, reviews
LocationsSeller locations, delivery zones, pickup points

What a platform enables:

CapabilityDescription
Faster decision-makingAll relevant information in one place → less time spent searching
Reduced biasObjective information replaces subjective seller claims
Transactional trustPlayers feel safe transacting with unknown parties through the platform’s security layer
Hybrid transactionsBoth social and economic interactions — not just buying and selling


Offline
PlatformWhy It Qualifies as a Platform
Local markets / local shopsMultiple buyers and sellers meet at one physical location; both social and economic transactions occur
Matchmaking broker (marriage broker)Intermediary reviews profiles of both parties, evaluates compatibility parameters, and suggests matches — classic two-sided platform logic

Digital
PlatformTypeWhat It Does
Amazon, FlipkartB2C e-commerceBuyers, sellers, logistics providers, and payment institutions all on one platform
Ola, UberAggregatorMatches drivers with customers / commuters in real time
FacebookSocial + marketplacePrimarily social; marketplace functionality enables economic transactions
Shaadi.comDigital matchmakingTraditional matchmaking digitised — same two-sided platform logic as the marriage broker, now at scale
Ariba (SAP)B2B procurementCompanies connect with suppliers for sourcing and procurement; widely used in large organisations
GEM (Government e-Marketplace, India)B2G / B2BGovernment and private entities purchase products through a common platform; includes decision support tools

Key Features of the Digital Platform Economy

Section titled “Key Features of the Digital Platform Economy”
  • Virtual infrastructure → enables both online and offline (hybrid) transactions
    • Example: Pay online via UPI, or pay the delivery partner in cash on delivery
  • Decision support tools → e.g., “Similar products you may like” recommendations on Amazon — reducing the buyer’s search effort and improving selection quality
  • Registered membership → all users must be affiliated or logged in → platform provides a baseline security and trust layer for all participants
  • Monetisation of seller attention → sellers can pay the platform to promote or advertise products — creating a revenue model for the platform itself
  • Multiple parties, one platform → customers, sellers, logistics partners, financial institutions, and tech providers all operate within the same ecosystem

Players in a Digital Platform — E-Commerce Model

Section titled “Players in a Digital Platform — E-Commerce Model”

Digital Platform Ecosystem Diagram — Hub-and-spoke showing Customer, Seller, Logistics, Financial Institution, and Tech Provider all connected to the central Platform node

How the ecosystem operates in practice:

  1. Customer logs in → browses products → makes a purchase decision using platform-provided information (ratings, reviews, prices, images)
  2. Seller → lists and promotes products on the platform; manages inventory and fulfilment within the platform’s framework
  3. Platform matches seller to buyer → one or more logistics partners are assigned to handle physical delivery
  4. Financial institution → enables digital payment in a manner transparent and auditable to all relevant parties
  5. All players require affiliation / login → the platform provides the security and trust layer that makes strangers comfortable transacting with each other

Session Summary — Platform Economy at a Glance

Section titled “Session Summary — Platform Economy at a Glance”