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Digitat
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feat(solutions): e-commerce

AI for e-commerce

Drive higher conversion rates and repeat purchases with personalized AI shopping experiences.

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Overview

Modern e-commerce requires far more than static product grids.

Today's consumers expect hyper-personalized product recommendations, intelligent conversational shopping assistants, and dynamic pricing. Digitat builds custom AI engines that integrate seamlessly into Shopify, custom storefronts, and warehouse systems to elevate average order value (AOV) and customer lifetime value (LTV).

What we build.

  • 01

    Vector-Based Semantic Search

    Allow shoppers to search using visual concepts, moods, and natural descriptions, bypassing rigid keyword matching.

  • 02

    Personalized Product Recommendations

    Real-time recommendation engines that suggest complementary accessories and bundles based on live browsing intent and purchase history.

  • 03

    AI Concierge & Sizing Advisors

    Conversational shopping assistants that help customers select the right size, compare specifications, and complete orders with zero friction.

  • 04

    Automated Inventory Forecasting

    Predictive models that forecast regional SKU velocity, preventing costly stockouts and minimizing excess warehouse storage fees.

From first commit to first customer.

Four steps to a working app. Then the same team brings it customers.

  1. 01

    Catalog Vectorization & Telemetry Audit

    We ingest your product catalog, reviews, and transaction logs, generating dense embeddings for semantic discovery.

  2. 02

    Widget & Storefront Integration

    Custom headless components or Shopify Liquid extensions embedded into product detail and collection pages.

  3. 03

    A/B Testing & Model Calibration

    Controlled split testing comparing AI recommendations against standard merchandising rules to quantify revenue uplift.

  4. 04

    Continuous Real-Time Retraining

    Event streams continuously retrain recommendation weights as seasonal trends and catalog additions occur.

  5. HEADGrow itSEO, ads and content from the same team, starting from the app's own data.See growth services

Built with

Shopify Storefront API Python Redis pgvector TypeScript Next.js Klaviyo

Related work.

All work

Questions.

Will this slow down our e-commerce store?

No. All recommendation algorithms run through edge-cached endpoints with sub-100ms response times and asynchronous client rendering, guaranteeing no impact on Core Web Vitals.

Does this require replacing our existing Shopify setup?

Not at all. Our solutions integrate directly as custom apps or theme blocks within your current Shopify or custom web storefront.

Elevate Your E-Commerce Store's Unit Economics

Let's analyze your store data to identify high-impact AI personalization opportunities.

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