What exactly does 10turtle do?

Three things, with a dedicated expert team for each: web design and development, branding and creative, and AI automation. You work with one accountable partner instead of stitching together separate vendors.

Do you only build new sites, or do you also redesign existing ones?

Both, equally. Roughly half of our work is rebuilding sites, brands, and workflows that companies have outgrown, and the other half is building from zero.

Who is on the team that handles my project?

A dedicated team per capability: web designers and engineers, brand designers, and AI engineers. One accountable lead owns the outcome end to end.

What is the free audit and what do I get?

A no-cost review of your website, brand, or workflow with specific, prioritised findings plus a clear plan. There is no obligation to hire us afterwards.

Where is 10turtle based and who do you work with?

Headquartered in Surat, India, with offices across the USA, Canada, and the UAE, serving clients in 37+ countries. We work with DTC and B2B brands that care about accountability and measurable results.

Is the AI automation work tied to one vendor?

No. Anthropic is a partner, not a dependency. We design automation around your stack and goals rather than locking you into a single platform.

✳ RELEVANCE / RETURNING SHOPPERS10TURTLE / SYSTEM 02 OF 06

02 / DECISION RECALL · RECOMMENDATIONS

Remember
what matters.

Research-backed personalization for returning shoppers.

EXPLORE SYSTEM ↘

02 / 06BUILT TO REMOVE FRICTION

IntentRecallRecommendationsSCROLL TO DISCOVER ↓

[01]✳ THE IDEA10T / COMMERCE SYSTEMS

A shorter path back to the right product.

Designed for an existing store, grounded in how shoppers actually think and behave.

02↗

A recommendation system that uses a shopper’s previous activity to make their next visit more relevant.

It can use products they previously viewed, explored, saved, or added to cart and bring the most relevant options back when they return.

[02]✳ LIVE EXPERIENCE10T / COMMERCE SYSTEMS

Make the next visit relevant.

Interact with the walkthrough to explore what the experience does at every step.

Swipe for the next step

Swipe the demo or use the arrows for the next step. Click a step above to jump to it.

✳ WORKING EXPERIENCEINTERACTIVE
WALKTHROUGH

The product is designed to work inside the existing ecommerce experience, not as a separate destination.

EXPLORE THE METHOD ↘

[03]✳ THE EVIDENCE10T / COMMERCE SYSTEMS

The logic behind relevance.

The studies and established principles informing how this experience is designed.

EVI-
DENCE↗

Research translated into practical interfaces.

THEORY

Consideration Set Effect

The research principle we use

Shoppers don’t seriously consider every product in a store. They narrow their attention to a smaller set of relevant products before deciding what to buy.

OUR APPLICATIONOur recommendation system uses previous shopping behavior to help create that relevant set faster when the customer returns.

RESEARCH PAPER

How Do Recommender Systems Lead to Consumer Purchases? A Causal Mediation Analysis of a Field Experiment

Xitong Li (HEC Paris) · Jörn Grahl (University of Cologne) · Oliver Hinz (Goethe University Frankfurt)

+12.4%purchase propensityIn the retailer studied

+1.7%basket valueIn the retailer studied

HOW WE APPLY ITWe make the store remember what mattered to the shopper before and use it to decide what products should matter when they come back.

Impact 9/10

[04]✳ BEHIND THE SYSTEM10T / COMMERCE SYSTEMS

Remember. Recognize. Recommend.

Each interaction follows an intentional sequence—not an arbitrary collection of features.

RELEVANCE / RETURNING SHOPPERS

AT A GLANCE / THE FLOW

Smaller relevant set→Remember previous interest→Viewed, explored, saved, cart→Bring relevant products back

✳ WHAT IT ALL ADDS UP TO

The best next choice starts with what came before.

The store remembers what mattered to the shopper before, and uses it to decide what should matter when they come back.

LET’S TALK ↗

Rememberwhat matters.