Turning Instagram-Led Fashion Selling Into a More Assisted Ecommerce Experience
Turning Instagram-Led Fashion Selling Into a More Assisted Ecommerce Experience
- Shopify
- Fashion Ecommerce
- Fit Confidence
- Assisted Shopping
- UI/UX
The Requirement
Gasolina had built demand largely through social and Instagram-led selling, where customers could ask questions, understand the fit of a product and get personal assistance before buying.
Moving that experience to ecommerce created a different challenge.
For fashion, particularly products with flexible or free-size fits, customers often hesitate because a standard size chart does not answer the question they actually have:
“How is this going to look and fit on me?”
The new store therefore needed to do more than put the catalogue online. It had to preserve some of the assistance customers were already accustomed to while creating a faster and more structured buying journey.
The requirement included:
- a new Shopify storefront;
- stronger product and collection discovery;
- clearer fit communication;
- better presentation of free-size products;
- mobile-first product pages;
- styling-led visual content;
- assisted shopping through WhatsApp;
- video-led product assistance;
- a smoother transition from social discovery to ecommerce purchase.
Our Role
We worked across the ecommerce journey from structure and UX through Shopify development.
Our scope included:
- defining the storefront and collection structure;
- UI and UX design;
- Shopify development;
- mobile-first PDP design;
- fit and sizing information architecture;
- visual merchandising;
- assisted-shopping journeys;
- WhatsApp integration;
- video-led shopping support;
- responsive development;
- QA and launch support.
A key part of our role was understanding which parts of the existing social-selling experience customers still needed once the business moved to a structured ecommerce store.
The Solution
We built the storefront around reducing uncertainty before purchase, particularly around fit.
Making Fit Easier to Understand
For many fashion stores, a PDP stops at a size selector and measurement chart.
That was not enough for Gasolina.
Where products use flexible or free-size fits, the experience needed to give customers more context around how the garment sits, how it can be styled and who it may work for.
We therefore structured product pages so imagery and fit information could work together rather than leaving customers to interpret sizing independently.
The journey becomes:
Discover Product → Understand Fit → See How It Looks → Get Assistance if Needed → Purchase
Assisted Shopping Through WhatsApp
We retained a direct route to human assistance for customers who still wanted reassurance before purchasing.
WhatsApp allows customers to move naturally from the product they are considering into a conversation with the brand.
Instead of forcing every shopper through the same self-service journey, the store supports both:
Ready to Buy → Purchase Online
and
Need Help → Speak With the Team → Continue Purchase
Video-Led Product Assistance
Fashion is highly visual, and static product images cannot always answer questions around fit, movement or styling.
Video-led assistance gives the brand another way to show products more realistically and help customers make a decision when photographs alone are not enough.
This brings some of the reassurance of assisted social selling into the ecommerce experience without making human intervention necessary for every purchase.
Moving From Social Selling to Structured Ecommerce
The objective was not to replace Instagram as a discovery channel.
It was to give the traffic coming from social a better place to convert.
Instead of customers having to move through DMs for basic product information and purchasing, the ecommerce store provides structured:
- collections;
- product information;
- fit guidance;
- pricing;
- purchase actions;
while keeping personal assistance available when it genuinely adds value.
Operational Outcome
The new Gasolina store created a more structured path from social discovery to purchase without removing the assisted-shopping behaviour that had already worked for the brand.
The ecommerce experience provides:
- clearer product and collection discovery;
- stronger fit communication for flexible sizing;
- mobile-first fashion browsing;
- a direct path from product pages to WhatsApp assistance;
- video-led support where customers need more confidence;
- less dependence on manual conversations for basic product information;
- a more scalable foundation for converting social traffic through ecommerce.
The result is a fashion storefront that does not force customers to choose between self-service ecommerce and personal assistance. It gives them both, depending on how much confidence they need before buying.
Frequently Asked Questions
We work across ecommerce and D2C, retail, beauty and wellness, travel, fitness, SaaS, real estate and enterprise operations. Our focus is less on a specific industry and more on solving complex digital, product and workflow requirements.
Yes. We design and develop web applications, responsive platforms, iOS and Android apps, SaaS products, internal tools, customer portals and admin systems depending on the business requirement.
Yes. We build custom systems that replace repetitive manual workflows, connect teams and bring operational information into one place. This can include CRMs, approval workflows, field applications, booking systems, vendor management, reporting and other internal business processes.
Yes. We work on applications where AI is part of a larger product or workflow, including image analysis, recommendation systems, brand intelligence, data analysis and AI-assisted decision-making tools.
Yes. We work on Shopify stores from UI/UX and catalogue architecture through development, custom product journeys, multilingual setups, Shopify POS, loyalty, fulfilment, product configurators and other custom commerce requirements.
Yes. Our projects regularly involve APIs and third-party systems such as CRMs, payment gateways, communication platforms, travel systems, AI services, ecommerce tools and other business software.
Yes. We work with agencies and technology partners as an external engineering and delivery team, including white-label engagements where we operate behind the partner’s brand.
Yes. We can get involved from the initial requirement stage, help structure the product and technical approach, design the experience, build the application, manage QA and support deployment and subsequent development.
Share your requirement with us at connect@tenetquad.com or call +91 9316877761. You can also visit tenetquad.com to start a conversation about your project.