Author

Ayush Singhal

Founder, MarQet

D2C operationsAI customer supportEcommerce analyticsQuick commerce

Ayush Singhal is the founder of MarQet, the D2C Performance Engine used by Indian direct-to-consumer brands to answer customers across WhatsApp, Instagram, Facebook and email, and to see what changed in their business overnight.

He works closely with founders and operators on the problems that sit between tools: support teams that cannot see order and shipment status, Monday reports rebuilt in spreadsheets, and SKUs that go out of stock on quick-commerce shelves without anyone noticing.

His writing on MarQet focuses on practical operating guides for Indian D2C teams: blended analytics, AI customer support, RTO and COD economics, and quick-commerce availability.

Writing on MarQet

HubQuick Commerce for D2C Brands: The Complete Guide to Selling on BlinkitHow Indian D2C brands win on quick commerce: how dark stores work, the metrics that matter, why listed-but-out-of-stock is the biggest leak, and a weekly operating rhythm for Blinkit.GuideBlinkit Seller Guide for D2C Brands: Listings, Stock, Ads and GrowthA practical guide for D2C brands selling on Blinkit: how onboarding and replenishment work, what to get right in listings, how to use in-app ads, and how to stop stock-outs from capping growth.GuideListed but Out of Stock on Blinkit: Why It Happens and How to Fix ItWhat 'listed but out of stock' means on Blinkit, why it is the biggest hidden leak for D2C brands on quick commerce, how to measure it by city and dark store, and a step-by-step fix.GuideDark Store Replenishment Playbook for D2C BrandsA practical replenishment playbook for D2C brands on quick commerce: days of cover, PO fill rate, campaign stock planning and a weekly routine that keeps dark stores stocked.GuideQuick Commerce vs Marketplace Margins: Where D2C Brands Actually Make MoneyCompare unit economics on quick commerce, marketplaces and your own D2C website, with a worked contribution margin example in rupees and the costs most brands forget.HubAI Customer Support for D2C Brands: The Complete GuideHow Indian D2C brands use AI for customer support across WhatsApp, Instagram, Facebook and email: what to automate, how to keep replies accurate, which metrics to track and how to roll it out safely.GuideBest AI Customer Support Software for D2C Brands in India (2026 Buyer's Guide)A neutral buyer's guide to AI customer support software and AI-native helpdesks for D2C brands in India. Compares MarQet CX, Gorgias, Zendesk, Freshdesk, Interakt, Wati, Bitespeed and Limechat on channels, live order data, AI safety and pricing models.GuideAI Agents for Ecommerce Customer Support: How They WorkHow AI agents handle ecommerce customer support: intent classification, agent orchestration, live order data, confidence thresholds and human escalation, with examples for D2C brands.GuideHow to Automate 80% of D2C Customer Support with AI (Step by Step)A step-by-step playbook for D2C brands to automate most customer support with AI while keeping accuracy: intent mapping, data connections, policies, draft mode, confidence thresholds and metrics.GuideWhatsApp Customer Support for D2C Brands: A Practical GuideHow Indian D2C brands should run customer support on WhatsApp: setup, templates vs session messages, response time, automation with live order data, and keeping one customer memory across Instagram and email.GuideHow to Reduce WISMO (Where Is My Order) Tickets for D2C BrandsA playbook to cut 'where is my order' (WISMO) tickets: proactive shipping updates, accurate delivery promises, NDR handling, and automated replies with live tracking data.HubD2C Analytics: The Complete Guide for Indian D2C BrandsEverything a D2C founder needs to know about analytics: the metrics that matter (contribution margin, MER, ROAS, CAC, RTO, days of cover), how to blend Shopify, ads and shipping data, and a daily and weekly reporting rhythm.