Sabgenie

Helping neighborhood vegetable vendors survive the pandemic without losing what makes them irreplaceable

Social Impact

Inclusive Design

Crisis Innovation

Sabgenie

Helping neighborhood vegetable vendors survive the pandemic without losing what makes them irreplaceable

Social Impact

Inclusive Design

Crisis Innovation

Sabgenie

Helping neighborhood vegetable vendors survive the pandemic without losing what makes them irreplaceable

Social Impact

Inclusive Design

Crisis Innovation

DELIVERY

IIT - Bombay

SCOPE

UI & UX Design

CONTEXT

Crisis Innovation

DELIVERY

IIT - Bombay

SCOPE

UI & UX Design

CONTEXT

Crisis Innovation

DELIVERY

IIT - Bombay

SCOPE

UI & UX Design

CONTEXT

Crisis Innovation

Orange Flower
Orange Flower
Orange Flower

The Challenge

The Challenge

The Challenge

Pandemic lockdowns decimated India's informal economy. 10-15 million vegetable vendors (Sabjiwallas) lost 60-80% of income as customers shifted to delivery apps like BigBasket, Grofers, and Amazon Fresh.

These vendors operate on razor-thin margins (₹10,000-30,000/month) with:

  • Zero tech literacy (limited English, no app experience)

  • No individual smartphones (shared family devices)

  • No digital payment infrastructure

  • No online presence or customer databases

While delivery platforms captured their customers, vendors had no way to compete digitally.

Design Brief: How might we create a tool that lets local vendors compete with delivery giants—without requiring tech skills, smartphones, or startup capital?

Research Foundation

Research Foundation

Research Foundation

Understanding the Crisis

I conducted 16 contextual interviews across 3 cities (Delhi, Mumbai, Bangalore) with:

  • 12 Sabjiwallas (vegetable vendors)

  • 4 customers who shifted to delivery apps

  • NGO facilitators working with informal economy workers

Synthesis: 688 interview statements coded through affinity mapping → 6 thematic insights

Key Findings

Vendors lost customers, not skills

  • They know produce quality, pricing, customer preferences

  • They lack digital storefront, delivery logistics, online payment

  • Customers want to support local vendors but need convenience

Trust > Price

  • Customers prefer vendors they know (quality assurance, flexible credit)

  • Delivery apps provide convenience but erode personal relationships

  • Vendors want to preserve customer connections, not replace them

Tech literacy is the barrier, not motivation

  • Vendors eager to adapt but intimidated by apps

  • Shared devices mean limited personal access

  • English-heavy interfaces exclude (70% Hindi/regional language speakers)

Item-based search is confusing

  • Customers think in dishes ("I'm making Palak Paneer")

  • They don't always know exact vegetable names in English

  • Delivery apps force ingredient-by-ingredient search

Strategic Insight

"Vendors don't need to become tech companies. They need a bridge between their existing strengths (relationships, quality, trust) and customers' new expectations (convenience, online ordering)."

Focus shifted from "vendor app" to dual-sided marketplace where buyers do the heavy lifting (search, payment) while vendors receive simple orders through assisted NGO onboarding.

The Solution

The Solution

The Solution

SabGenie is a hyperlocal vendor discovery platform connecting customers with neighborhood vegetable vendors—designed for buyer convenience + vendor simplicity.

Two-Sided Design

Customer App (Feature-Rich):

  • Dish-based search ("I'm making Palak Paneer" → auto-suggests spinach, paneer, tomatoes)

  • Vendor discovery by location

  • Item catalog with photos

  • Order placement + digital payment

  • Order history + favorites

Vendor Interface (NGO-Assisted):

  • SMS/WhatsApp order notifications

  • Simple accept/reject flow

  • Inventory management via voice calls

  • NGO onboarding support (no individual app required)

Core Features

Core Features

Core Features

1. Dish-Based Search (Not Ingredient Search)

Customer mental model: "I'm cooking Biryani" (not "I need basmati rice, onions, tomatoes, cilantro...")

Solution: Type dish name → SabGenie auto-suggests all required ingredients + quantities for serving size

Impact: 60% faster order completion vs. ingredient-by-ingredient search

2. Hyperlocal Vendor Discovery

Search by:

  • Neighborhood (500m-2km radius)

  • Specialty (organic, exotic, fresh-cut)

  • Availability (open now, delivers today)

Shows: Photos, ratings, estimated delivery time, contact info

3. Guided Assistance (Not Chatbot)

Challenge: Customers sometimes unsure about substitutions, quantities, or seasonal availability.

Initial idea: AI chatbot for questions.

Testing revealed: Open chatbot created uncertainty—"Will it understand me? Is this taking too long?"

Final design: Structured help options:

  • "Show me similar items"

  • "What's in season now?"

  • "Suggest quantities for 4 people"

Result: Predictable, fast assistance without chatbot unpredictability.

4. Flexible Ordering

  • Order for today (immediate delivery)

  • Schedule for tomorrow (vendor prep time)

  • Recurring orders (weekly vegetables, auto-repeat)

5. Trust Indicators

  • Vendor photos (humanizes, builds familiarity)

  • Customer ratings (5-star + written reviews)

  • Years in business (establishes credibility)

  • Specialty badges ("Organic Certified," "Family Business Since 1985")

Critical Design Decisions

Critical Design Decisions

Critical Design Decisions

Decision 1: Buyer App First (Not Dual App Launch)

Initial plan: Launch vendor app + buyer app simultaneously.

Research insight: Vendors had higher urgency (income crisis) but lower tech capacity. Customers had capacity but needed vendor availability to justify download.

Final strategy:

  1. Build buyer app first (full-featured)

  2. Onboard vendors through NGO-assisted registration (no app required)

  3. Vendors receive orders via SMS/WhatsApp

  4. Launch vendor app later (once ecosystem established)

Impact: Faster MVP launch; vendors participated without tech barrier.

Decision 2: Item-Based Search With Guidance (Not Pure Dish Search)

Testing revealed: Dish-based search worked beautifully for common dishes (Palak Paneer, Biryani, Dal) but failed for fusion cooking, personal recipes, dietary restrictions.

Final design: Hybrid search

  • Primary: Dish-based (auto-suggests ingredients)

  • Secondary: Item-based with smart filters (category, season, vendor specialty)

  • Tertiary: "Show me what's fresh today" discovery mode

Result: 85% of users started with dish search; 15% used item search for specialized needs.

Decision 3: No In-App Payment Required (At Launch)

Challenge: Digital payment adoption low among target customers (older adults, non-tech-savvy); vendors lack payment terminals.

Pressure: Investors wanted transaction fees through in-app payment.

User need: Cash-on-delivery + flexible credit (established vendor-customer relationships).

Final decision: Support both:

  • In-app payment (UPI, cards) for convenience

  • Cash-on-delivery for trust + flexibility

  • Vendor credit accounts (existing relationships preserved)

Trade-off accepted: Lower transaction fee revenue in exchange for higher adoption and vendor participation.

Decision 4: NGO-Mediated Onboarding (Not Self-Serve)

Reality check: Expecting vendors to download app, create accounts, upload inventory, and manage orders = instant failure.

Solution: Partner with NGOs working with informal economy workers:

  • NGO staff conduct in-person onboarding (photo, contact info, specialties)

  • NGO creates vendor profiles on behalf of vendors

  • NGO trains vendors on SMS order notifications (no app required)

  • Vendors call NGO helpline for support

Impact: 40 vendors onboarded in 2 weeks (vs. 0 through self-serve attempts).

Validation & Outcomes

Validation & Outcomes

Validation & Outcomes

Usability Testing (8 participants: 6 customers, 2 vendor proxies)


User Type

Task

Success Rate

Avg Time

Customer

Search by dish

100%

18s

Customer

Discover local vendor

100%

24s

Customer

Place order

100%

42s

Vendor proxy

Accept SMS order

100%

12s

Key feedback:

  • "This is so much easier than BigBasket—I can find everything for one dish"

  • "I love supporting my regular vendor, now I don't have to go out"

  • "The photos make me trust the vendor even though I haven't met them"

Post-Launch Metrics (2-Month Pilot)

Customer Adoption:

  • 450 app downloads

  • 280 active users (62% retention)

  • 8.2/10 average usability score

Vendor Participation:

  • 40 vendors onboarded (2 neighborhoods: Delhi, Bangalore)

  • 15-20 daily orders per vendor (vs. 5-8 walk-in pre-pandemic)

  • ₹3,000-5,000 weekly incremental income per vendor

Item-Based Search Impact:

  • 60% improvement in order completion time

  • 35% higher basket size (dish search encourages full ingredient sets)

Key Takeaways

Key Takeaways

Key Takeaways

Users Struggled Despite Loving the Concept

Initial design: Item-based search seemed intuitive (type "tomatoes," get tomatoes).

Reality: Customers got confused when:

  • Searching generic terms ("vegetables")

  • Unsure about exact item names

  • Comparing across vendors

Lesson learned: Clarify search logic through onboarding—don't assume mental models align with system logic. Added 3-screen tutorial on first launch showing dish search, item search, and discovery modes.

Design for Existing Relationships, Not Disruption

Mistake: Early prototype emphasized "discover NEW vendors" (marketplace growth).

Customer feedback: "I don't want new vendors. I want MY vendor online."

Pivot: Repositioned SabGenie as "bringing your trusted vendor online" rather than vendor discovery platform. Added "Favorite Vendors" and "Repeat Last Order" features.

Impact: Higher trust, faster adoption.

Inclusive Design ≠ Feature Reduction

Assumption: Low-tech-literacy vendors need "simple" (= fewer features).

Reality: Vendors wanted full business capabilities (inventory, pricing, promotions) but through assisted channels (NGO support, phone calls, SMS).

Lesson: Inclusive design means accessible pathways to full functionality, not dumbing down.

"SabGenie reminded me that the best marketplace designs don't disrupt relationships—they digitize them."

Impact and Future

Impact and Future

Impact and Future

Social Impact:

  • 40 vendors preserved livelihoods during crisis

  • ₹3,000-5,000 weekly incremental income per vendor

  • 280 customers gained hyperlocal convenience + vendor relationships


My Role

My Role

My Role

As UX researcher and designer, I:

  • Conducted contextual research (16 interviews across 3 cities)

  • Led synthesis (688 statements → 6 themes → 2 personas)

  • Designed information architecture (dual-sided marketplace)

  • Created wireframes and interactive prototypes

  • Conducted usability testing with target users (customers + vendor proxies)

  • Collaborated with NGO partners on vendor onboarding strategy

  • Iterated based on pilot feedback

Future Scope

Future Scope

Future Scope

Next Steps:

  • Expand to 5 cities (targeting 200 vendors)

  • Launch lightweight vendor app (post-NGO onboarding)

  • Integrate with India Stack (UPI, DigiLocker for business verification)

  • Explore B2B model (restaurants sourcing from local vendors)