Aashika Singh at her IGDTUW convocation APM at FloBiz · Bangalore

Aashika Singh

I work where technology, AI, and business meet: taking products from discovery to adoption for the small businesses on FloBiz (myBillBook).

Great products aren’t built by technology alone. They’re built by understanding the right problems, and solving them in ways that last.

  • APM at FloBiz
  • Ex-SDE at PayU
  • Ex-TPM at Finstack

01: The shift

From software engineer to product manager.

After graduating from IGDTUW, I spent over two years at PayU building software, developing APIs, and solving hard engineering problems. The questions that stayed with me were larger than the ticket in front of me: why are we building this, which user problem does it solve, and how do we know it moved the business?

That curiosity is what pulled me into product. I wanted the technical work, the customer understanding, and the business outcome in the same job. At FloBiz I get to do that: 0→1 AI collections and reconciliation, growth systems, and the unglamorous loops that decide whether a feature is actually used.

Always curious. Always building. Always learning.

02: At FloBiz

Products that show up in the numbers.

Associate Product Manager at myBillBook since August 2024. The work sits with design, engineering, and GTM, from the first interview to the week after launch.

Launch

AI Recon

A generative AI reconciliation tool that matches bank statements to invoices. It launched at 75%+ accuracy and cut manual checks per statement by 60%.

0 → 1

myCashFlo.AI

An AI payment-collections product in discovery. Early testing shows a 40% renewal rate, promise-to-pay capture up 20%, and collection time down 15%. The pilot reached 100+ users with a WhatsApp delivery rate above 75%.

Growth

Invoice themes

Auto-suggested seasonal and regional invoice themes. Template adoption grew 40%, and repeat invoicing rose 15% in the first week.

Adoption

Onboarding and adoption

Shared Ledgers cut adjustment tickets by 30%. OCR invoice capture takes time off every bill. Onboarding drop-off fell 18%. A/B tests and in-app nudges lifted trial-to-paid conversion by 8 pp and repeat feature usage by 10 pp. Cash Flow Discovery held a 20–26% CTR.

03: Experience

Engineering first. Product on purpose.

  1. Aug 2024 to Present

    Bangalore

    Associate Product Manager

    FloBiz · myBillBook

    • Built internal growth and AI platforms, including an in-house voice agent and a CleverTap-style engagement engine, so other teams could launch and tune journeys themselves.
    • Led 0→1 discovery and pilot execution for myCashFlo.AI, from design and user testing through QA.
    • Shipped AI Recon and regional invoice themes, then instrumented usage, A/B tests, WhatsApp nudges, and in-app tips to see what actually stuck.
    • Ran GTM and customer discovery across 300+ customers and 45+ SMBs to test demand, pricing, and partnerships.
  2. Apr 2024 to Jul 2024

    Bangalore

    Technical Product Manager

    Finstack

    • Worked with the CEO and CTO on business requirements, design decisions, and a decision engine for onboarding.
    • Shaped a customer onboarding and creditworthiness platform that cut paperwork by 50%.
    • Owned product for a PPI management suite on M2P, Livquik, and Syntizen, and took an API wrapper live: cutting build time by 70% with dynamic web apps.
  3. Jan 2022 to Apr 2024

    Bangalore

    Software Engineer

    PayU

    • Built dynamic web apps with modular design and automated pipelines, shortening development cycles by 70%. Quality gates ran on JUnit and Mockito.
    • Developed REST APIs that improved transaction efficiency by 30% and strengthened platform security by 95%.
    • Took a product from scratch with an eye on scale, security, and Kong API management.
    • Cut downtime by 10% and held the service at 88% uptime.

04: Case studies

Product thinking, written down.

From the Crework fellowship, where I finished rank 1, and the product assignments on my resume.

Fashion: D2C · Submitted by Aashika Singh

Product deep dive: Savana

How a digital-first fashion brand uses trend velocity, social commerce, and a mobile-first shop to win Gen Z’s attention in India’s D2C market.

Why Savana

Savana is where fashion retail in India is heading: a digital-first, Gen Z brand with a strong presence at home and a read on international trends. It is modern D2C plus tech-enabled fashion. Design, pricing psychology, and loyalty have to work as one system if growth is going to last.

  • Trend velocity: rapid design-to-launch cycles
  • Social commerce: influencer-led discovery
  • Mobile-first shopping: an app-centric experience

What Savana actually does

Fast fashion launch

Trend-led apparel inspired by global runways and social media, refreshed fast enough that the catalogue stays current.

Direct to consumer

Sold through the mobile app, without middlemen, so pricing stays competitive and the brand keeps the customer experience.

Data-driven discovery

Social, creators, and analytics decide which trends to chase, then targeted content creates the demand.

In simple terms: Savana brings international runway and social trends to Indian shoppers quickly, and at a price they can pay.

The problems it solves

Trend lag

Trends move faster than traditional brands. By the time a store stocks the style, Gen Z has moved on.

Discovery mismatch

Offline retail does not match how this shopper finds clothes. Inspiration is on Instagram, Pinterest, and TikTok, not in a mall.

Access barriers

International fashion feels expensive, hard to import, or simply not available in India.

Style versus affordability

Affordable fashion in India often misses the trend. Premium brands have the design, and stay out of reach.

“I want trendy, global-looking clothes that are affordable and easy to buy online.”

Who it is for

Gen Z and young millennials, about 18 to 30. Digital natives who expect the app to feel effortless. They care about being on trend and still shop inside a young Indian budget. They find looks through influencers on Instagram and Pinterest and want to recreate them.

The insight: Savana is not only selling clothes. It is selling identity, aspiration, and cultural relevance.

What makes it a strong product

Trend velocity

Rapid design-to-launch, with a catalogue that mirrors Instagram, TikTok, and Pinterest in near real time. It feels current, not seasonal.

Mobile-first

Discovery, wishlist, checkout, and payment live in the app. Push notifications cover drops, offers, and restocks.

Coupons as product, not just marketing

A coupon is waiting almost every time the app opens. Predictable discounts lower checkout hesitation and create a small win before the purchase.

Savana Club is the loyalty engine: Explorer, Enthusiast, Insider, then Icon. Icon perks include shopping rewards, member pricing, birthday surprises, VIP service, and “Get Me to US,” an aspirational travel hook.

The growth loop

  1. Social discovery
  2. App visit
  3. Coupon-driven purchase
  4. Club progression
  5. Referrals

Discovery leads to purchase, purchase builds loyalty, and loyalty brings the next user in. Discounts reduce friction. Tiers encourage the repeat. Satisfied customers refer without a paid ad.

What I would build next

Standard delivery is about 21 days, which breaks the impulse that fashion depends on. The catalogue is also still focused on women.

01: 60-minute express

Metro-first delivery for high-demand SKUs, through dark stores. Turn desire into something immediate.

02: Buy the Look

One tap to purchase a full influencer-curated outfit. Less decision fatigue, higher order value, and a direct line from the social post to the cart.

03: Men’s fashion

Start with capsule drops: streetwear, casual, party. Use influencers to test demand before a full expansion.

Takeaway

Savana works because it solves global fashion access for budget-conscious Indian shoppers, it understands Gen Z, and it joins trends, pricing psychology, loyalty, and technology. It is not only selling clothes. It is selling being on trend, right now.

  • Return rate: where sizing, fit, or quality is hurting trust and margin
  • Coupon usage: whether people stay for the discount or for the brand
  • Referral-driven CAC: how referrals compare with paid acquisition
  • Repeat purchase rate: whether each loyalty tier actually builds a habit
Read the full deck

Elders: AI

Marzi Moments

A daily companion ritual for people aged 55 to 75. Loneliness here is a lack of being noticed, not a lack of people. Emotional wellbeing has to come before health habits will stick.

Read the case study

Crework: with Bhavya and Aditi

Peerlist

Graduation project for a professional network in tech. The brief: raise daily active users 30% in a quarter and lift time per session 25%, starting from how people actually use the product today.

Read the case study

Web3: growth

Leap Wallet

Growth channels for a crypto wallet: content and SEO, influencer affiliates, Discord and Reddit, email, paid, exchange partnerships, and workshops. Each channel has daily, weekly, and monthly metrics, and the download journey changes by source: social, ads, search, or direct.

Read the case study

Sales enablement

White Panda

Early-adopter research for Passion Bits (BlueTail). Whatfix is the starting fit: a global digital-adoption company whose sales teams need proof, training, and localized content. The short list then runs through SaaS, enterprise software, consulting, finance, healthcare, and manufacturing.

Read the case study

Edtech: growth

Product Space

Awareness and acquisition for a product-management course. Working professionals and students get separate personas, channels, and offers: LinkedIn and webinars on one side, campus ambassadors and a freemium path on the other. Success is reach, conversion, CAC, completion, and repeat enrollment.

Read the case study

Fintech: PRD

Slice bank statements

A PRD to bring North East Small Finance Bank savings statements into the Slice app: view, download, search, categorize, and alerts. Rollout is internal testing, a four-week beta, then a full launch. Success is statement-section usage, regular access, and whether people find it usable.

Read the case study

Games

Clash Rumble

A roadmap for a new game in the Clash Royale mold, an art-asset model across a 9-month build and a 6-month soft launch, and a high-level design specification.

Read the case study

05: Background

School, tools, and how I like to work.

Education

IGDTUW, Delhi

2018 to 2022

B.Tech in Electronics and Communication Engineering · 8.2 GPA

Vice Chairperson, IEEE · Secretary, ECE Association · Teaching Assistant, Operating Systems · Team Lead, Robotics Club

Crework, Bangalore

Aug 2024 to Oct 2024

Product Management Fellowship. Graduated rank 1 in the cohort.

Tools

Product & research

  • User interviews
  • A/B testing
  • Amplitude
  • CleverTap
  • Google Analytics
  • Metabase
  • Houseware
  • Figma
  • Whimsical

From the engineering years

  • Java
  • Python
  • JavaScript
  • TypeScript
  • React
  • Spring Boot
  • MySQL
  • MongoDB
  • Kong
  • Postman

06: Contact

I’m looking for APM and PM roles.

If you’re hiring for someone who can sit with customers, write the spec, and still read the API: I’d like to talk.