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Aryan Bartwal

Product ManagerLife Optimizer
Revenue Growth | Retention | AI-led Automation | Consumer & Retail Tech
Stories | Experiences | Curiosity | Adventure

About Aryan Bartwal — Product Manager

"Life is too short to live only one version of it."

I'm endlessly curious, intensely competitive, and obsessed with making things better. Whether it's a product, a process, or my own understanding of the world, I rarely stop at the first answer.

I love building things that should exist, learning things I know nothing about, and collecting experiences that turn into good stories. My dream is to build products that help people become better versions of themselves, become a great storyteller, experience everything this world has to offer, and someday open a small café in the hills.

Experience

DealShare - Product Manager

May 2025 – Present

Unicorn grocery and essentials commerce platform serving consumers across Tier 2 and Tier 3 India through a network of online and offline stores, processing 60,000+ daily orders across 25 stores and 100+ dark stores. Built around sustainable unit economics, supply-chain efficiency, and everyday affordability, delivering the lowest prices and best deals rather than competing on ultra-fast delivery.

  • Search & Discovery
    • Increased our Add-to-Bag rate from 32% to 46% by running targeted relevancy and ranking experiments—a 14 percentage point swing that contributed approximately $1M+ in annual topline revenue. Led the build-versus-buy evaluation for the new search platform and successfully aligned engineering, marketing, and executive teams to get it shipped.
    • Recognized that a significant segment of our shoppers do not search in English, so I built a conversational search experience specifically tailored for vernacular users to improve their natural-language product discovery.
    • Designed and launched mart.dealshare.in, an SEO landing page to help users discover offline stores. Built the entire platform on Lovable without developer support, integrated it with our feedback systems, and drove over 8,000 organic views in its first week.
  • Applied AI & Automation
    • Took ownership of the end-to-end AI roadmap across retail and consumer-facing functions, building an intelligence layer that powers forecasting, support, discovery, and personalization.
    • Deployed machine learning for demand forecasting that slashed stock-outs by 35% and overstocking by 90% across all warehouses, while turning a daily 6-hour stock transfer task into a 5-minute automated process. In a business with tight margins, this availability improvement had an immediate and direct impact on profitability.
    • Introduced dynamic estimated times of arrival and overnight order management using ML, successfully reducing order cancellations by 18%.
    • Built an AI-powered cart recommendation system using a GPT-wrapped recipe engine. By focusing on genuine basket-building intent instead of generic cross-selling, add-to-cart rates from recommendations jumped from 2% to 15%.
    • Currently developing an AI-native site selector that leverages geographic, demand, and demographic signals to replace gut feeling with hard data in our store expansion decisions.
  • Customer Support & CRM
    • Slashed daily support tickets by 80% (from 3,000 to 600) by building a support chatbot from scratch. Mapped the entire customer journey, wrote the LLM instructions governing tone and escalation, and built an auto-refund engine with smart safeguards to prevent misuse. This initiative saved over $300K annually with zero drop in NPS or CSAT.
    • Built CS360, an in-house customer data platform that quadrupled agent productivity from 15 to 60 tickets per day. Integrated Google Review tracking directly into Freshdesk, shrinking our resolution turnaround time from 2–3 days down to just 60 minutes.
  • Pricing, Retention & Segmentation
    • Built our core pricing and discounting engine from the ground up to handle 20,000 SKUs across all warehouses, hubs, and 25 stores.
    • Launched a Price Guarantee Program featuring real-time competitor benchmarking and instant refunds. It quickly captured 25% of daily orders, driving a 6% month-over-month lift in retention and increasing average order values by 19% among participating users.
    • Created a segmentation platform from zero to one, enabling dynamic cohorts and personalized pricing based on a user's lifecycle stage. This drove 5% month-over-month growth in repeat users and improved net margins by a full percentage point.
  • Supply Chain & Warehouse Operations
    • Spent time on the ground in our warehouses to identify inventory leaks, leading to a complete overhaul of expiry management. Implemented strict dispatch rules that reduced stock waste by 85% and virtually eliminated cancellations due to expired items.
    • Turned stock write-offs into a new revenue line by launching a seller-funded resale channel for near-expiry items, bringing in $5K+ in monthly recurring revenue at zero cost to the platform.
    • Automated real-time stock audits to bump inventory accuracy from 92.5% to 97.5%, recovering $10K+ per warehouse every month.
    • Redesigned picker routes based on sell-through velocity, speeding up picking by 13% and reducing overall delivery times by 19%.
  • App & Growth
    • Overhauled the cart, payment, and search result pages, boosting Add-to-Cart rates by 7% and increasing cart-to-payment completions by 25%.
    • Designed a targeted referral system aimed at high-value users and their networks. This improved install-to-signup conversion from 50% to 63% and saved $33K compared to paid acquisition channels.
    • Rolled out an in-house point-of-sale system that accelerated scanning and billing by 20%, complete with built-in shelf-label printing and real-time promotional syncing.

Sploot - Product Manager | Android Developer

January 2022 – May 2025

Technology-enabled pet care platform connecting pet parents with dog walkers, groomers, trainers, boarding providers, and veterinarians through a managed marketplace and subscription-led ecosystem. The platform also offers fresh dog food, healthy treats, supplements, toys, and accessories, creating a comprehensive pet-care ecosystem.

  • Growth & Monetisation
    • Scaled Sploot from zero to over 300,000 downloads and $250K+ in annual recurring revenue in two years by owning the full product vision, roadmap, and execution.
    • Cut customer acquisition costs for dog walking by 90% by replacing direct subscriptions with a paid trial model. Introduced weekly subscription packaging that added a 45% lift in trial-to-sign-up conversions and contributed 8% in incremental revenue.
    • Drove 4× sign-up growth in just three months by A/B testing onboarding redesigns that reduced drop-offs by 35%. Proved the counterintuitive hypothesis that presenting less information upfront actually leads to more completions.
    • Achieved 25× web traffic growth in six months entirely through search engine optimization and free pet tools, creating a compounding growth engine without spending a rupee on ads.
  • Retention & Engagement
    • Created a dynamic, personalized homepage that adapts in real time to each user's journey. By proactively surfacing active walks or grooming sessions and shifting content based on lifecycle segments, time spent in the app increased by 60%. This intuitive flow also reduced customer escalations for basic queries by 90%.
    • Revamped the marketplace, which brought in $3.5K in revenue in its first month and doubled Month 3 retention. It now contributes 85% of total revenue.
    • Designed a loyalty and gamification system built around meaningful pet milestones rather than generic points, resulting in a 70% repeat rate for paid users and tripling Month 1 retention.
    • Launched a learning module to help pet parents become better owners. It saw 85% adoption and 78% Week 1 retention, giving users a reason to open the app even when they weren't booking a service.
    • Built real-time chat and micro-communities at 90% lower production cost than standard approaches. This engaged over 10,000 monthly active users and lifted both overall active users by 19% and transacting users by 11%.
    • Introduced 'Pay on Delivery' for grooming services, tripling revenue and boosting conversion by 84% in three months by realizing that trust is a product problem before it's a payment problem.
    • Removed the friction of manual subscription renewals by implementing e-mandates, which improved retention by 30%.
    • Doubled notification click-through rates to 4.7% and grew transacting users by 17% through deep personalization using Mixpanel and WebEngage.
  • Partner Platform
    • Built the Sploot Partner App from the ground up to serve over 1,000 dog walkers and groomers. Created a unified platform featuring real-time GPS tracking, request-based booking acceptance, priority pricing logic, and end-to-end payout management so partners could seamlessly manage their schedules and earnings.
  • AI & Automation
    • Launched Sploot Bot, an AI vet chat, specifically targeting users in smaller cities where physical vet access is limited. While most competitors chased metro users, going the other direction unlocked an underserved market and grew online vet bookings by 40%.
    • Developed an in-house CRM that manages 90% of revenue and cut support turnaround time by 65%. Also built an automated partner matching system that reduced assignment times from 6 hours to instant.

Cognizant Technology Solutions - Programmer Analyst

January 2021 – December 2021

SAP S/4 HANA migration for Royal Canin and Mars — 100+ classes migrated, 2,500+ data objects cleansed, 35-member cross-functional team.

  • SAP S/4 HANA Migration
    • Played a key role in the SAP S/4 HANA migration for Royal Canin and Mars as part of a 35-member cross-functional team, successfully migrating over 100 classes and cleansing and moving more than 2,500 data objects.

Side Projects

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If you need someone who can talk to users in the morning, identify the problem by noon, spec the solution by afternoon, and ship before the day ends - that's the pace I operate at.