storefront Retail AI Use Cases

Transforming Retail with
Applied Generative AI.

We don't build generic AI. We implement specialized Google Cloud solutions that directly solve retail's biggest challenges: inventory forecasting, cart abandonment, and customer support bottlenecks.

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Built on Google Cloud's Commerce Infrastructure

search_check Vertex AI Search
recommend Recommendations AI
auto_awesome Gemini Enterprise
database BigQuery ML

Common Retail AI Use Cases

See exactly how Evonence helps retail organizations turn complex business problems into automated, highly profitable solutions.

inventory_2

Demand Forecasting & Inventory

The Problem Relying on historical spreadsheets leads to overstocking (wasted capital) and stockouts (lost sales) when sudden market trends or weather events occur.
What We Do We build predictive machine learning models in BigQuery that ingest your POS data, local weather forecasts, and social media trends to accurately predict SKU-level demand up to 90 days in advance.
manage_search

Intelligent Product Discovery

The Problem Standard website search bars rely on exact keyword matches. When shoppers use natural language (e.g., "warm boots for snow"), they get "zero results" and bounce.
What We Do We implement Vertex AI Search for Retail to enable semantic, human-like search. The AI understands intent and context, significantly dropping bounce rates and increasing add-to-cart conversions.
support_agent

Automated Customer Support

The Problem During peak seasons, human support agents are overwhelmed with repetitive WISMO ("Where is my order?") requests, leading to slow response times and angry customers.
What We Do We deploy Gemini-powered conversational agents securely connected to your Order Management System (OMS). These bots autonomously resolve L1 support tickets 24/7, deflecting up to 60% of human workload.
sell

Dynamic Pricing Optimization

The Problem Static pricing models leave money on the table during high-demand periods and fail to adjust fast enough to beat competitors during flash sales.
What We Do We architect real-time data pipelines that ingest competitor pricing feeds, your internal inventory levels, and demand elasticity to recommend or automate optimized pricing dynamically.
style

Hyper-Personalized Shopping

The Problem Showing the exact same storefront to every user ignores their unique preferences, resulting in lower engagement and missed cross-sell opportunities.
What We Do We leverage Google Cloud Recommendations AI to build real-time, behavior-driven product feeds. The AI adapts to the user's browsing intent instantly, recommending highly relevant "complete the look" items.
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Generative Catalog Management

The Problem Writing thousands of unique, SEO-friendly product descriptions and tagging images for a new seasonal catalog takes weeks of manual marketing effort.
What We Do We build automated RAG pipelines using Gemini's multimodal capabilities. You upload vendor images and spec sheets, and the AI instantly generates rich product descriptions, tags, and marketing copy.
auto_graph Demand Forecast
AI Optimized
checkroom
Winter Parka - Navy
SKU: WP-NV-001
850 units
trending_up +12% (Cold Front)
hiking
Trail Boots - Tan
SKU: TB-TN-044
120 units
trending_down -5% (Post-Holiday)
umbrella
Travel Umbrella
SKU: TU-BK-009
420 units
trending_up +30% (Rain Alert)

Stop Guessing. Start Predicting.

Manual inventory forecasting relies on looking backwards at last year's spreadsheets. We implement Google Cloud Machine Learning to look forward—analyzing weather APIs, search trends, and local events to tell you exactly what will sell tomorrow.

  • cloud

    External Data Integration

    Our models automatically ingest external data sets like local weather patterns and upcoming sports events that heavily influence retail buying behavior.

  • warehouse

    Hyper-Local Allocation

    Don't just know how much to order—know exactly which specific warehouse or retail location to ship the inventory to based on localized demand.

The Data Foundation for AI

Generative AI cannot function if your sales, inventory, and customer data are trapped in separate, legacy systems. Evonence builds the foundational data warehouse required to power true omnichannel AI solutions.

  • Omni

    Unify Your Silos

    Ingest real-time POS data, online browsing behavior, and supply chain metrics into BigQuery to establish a single source of truth.

  • Secure

    Privacy First Architecture

    Your sales data and customer PII are strictly protected. We utilize Google Cloud's zero-trust architecture to keep your retail data secure.

Modern Retail Data Lakehouse
point_of_sale POS Systems
local_shipping Supply Chain
shopping_cart E-Commerce App
database BigQuery Central Data Hub
neurology Demand Forecasting ML
support_agent Gemini Support Agents

Measurable Retail Impact.

We only architect solutions with a clear, direct path to increasing your revenue and dropping operational costs.

25%
Higher Conversion Rates

Deploying AI-powered search and hyper-personalized product recommendations leads to significantly larger cart sizes.

40%
Fewer Out-of-Stocks

Moving from manual Excel forecasting to machine learning models allows retailers to react instantly to sudden demand spikes.

60%
Support Ticket Deflection

Generative AI support agents instantly handle routine WISMO requests, saving your human staff for complex issues.

Ready to implement AI in your retail operations?

Schedule a free consultation with an Evonence retail AI expert to discuss which use case will deliver the highest ROI for your brand.

Recognized Expertise

Google Cloud Premier Partner
● Retail Search AI
● Machine Learning
● Data Analytics