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SoftBlues
Gemini Enterprise/E-commerce & Retail

Gemini Enterprise forE-commerce

Real-world applications showing how retailers use Gemini Enterprise to personalise customer experiences, optimise inventory, and automate support, turning data into revenue-generating insights.

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Google Cloud PartnerTrusted by online retailers and marketplaces
Case 1

Intelligent Product Discovery

The Conversion Multiplier

The Challenge

Your customers can't find what they're looking for. Traditional search returns irrelevant results, filters are clunky, and product descriptions don't match how real people describe their needs. Abandoned searches mean abandoned carts and lost revenue.

The Solution

Conversational Product Discovery. You deploy a Shopping Assistant Agent within Gemini Enterprise. Customers describe what they want in natural language - "a waterproof jacket for hiking in Scotland" - and the agent understands intent, matches products, and explains why each recommendation fits their needs.

How to Get Started

1
Connect

Softblues connects Gemini Enterprise to your product catalogue, including descriptions, specifications, reviews, and inventory data.

2
Train

We configure the agent to understand your product taxonomy, brand voice, and common customer queries.

3
Prompt

"I need a gift for my mother-in-law who loves gardening but has a bad back. Budget around $50."

Conversational Product Discovery
Product Catalog10K+ SKUs
Chat Interface
Customer Query

"Waterproof jacket for hiking in Scotland"

Hiking Jacket
$18998%
Rain Coat Pro
$14992%
Trail Blazer
$16587%
Case 2

Customer Service Automation

The Support Scalability Engine

The Challenge

Support tickets pile up during sales peaks. Agents answer the same questions repeatedly: "Where's my order?", "How do I return this?", "Do you have this in blue?". Response times suffer, CSAT drops, and scaling human teams for seasonal spikes is expensive.

The Solution

AI-Powered Customer Service. You build a Support Agent using Gemini Enterprise that handles 70-80% of inquiries automatically. It accesses order status, processes returns, checks inventory, and answers product questions -escalating to humans only when truly needed.

How to Get Started

1
Integrate

We connect Gemini Enterprise to your order management, inventory, and CRM systems via secure APIs.

2
Configure

We build conversation flows for common scenarios: order tracking, returns, exchanges, product questions, complaints.

3
Prompt

"Where is my order #12345? I ordered it last week and it still hasn't arrived."

AI-Powered Customer Service
Web Chat
Email
WhatsApp
Support Agent
OMS
Inventory
CRM
80% Automated Resolution

"Your order #12345 shipped yesterday via FedEx. Expected delivery: Tomorrow by 5 PM."

Case 3

Dynamic Content Generation

The Content Factory

The Challenge

You have thousands of products but generic descriptions. Writing unique, SEO-optimised content for every SKU is impossible with human writers alone. Poor product content means poor search rankings and lower conversion rates.

The Solution

Automated Content at Scale. You deploy a Content Agent that generates product descriptions, meta tags, category pages, and marketing copy -all in your brand voice. It processes product data, competitor analysis, and SEO requirements to create content that ranks and converts.

How to Get Started

1
Analyse

We study your brand voice, top-performing content, and SEO strategy to create content guidelines.

2
Build

We configure Gemini Enterprise with your product data feeds, style guide, and content templates.

3
Prompt

"Generate SEO-optimized product descriptions for all 500 new arrivals in the summer collection, highlighting key features and seasonal relevance."

Automated Content at Scale
Product FeedRaw Data
Brand GuideStyle Rules
SEO RulesKeywords
Content Engine
Descriptions500
Meta Tags500
Marketing Copy50
Case 4

Personalisation Engine

The Revenue Maximiser

The Challenge

You have rich customer data - purchase history, browsing behaviour, preferences - but your personalisation is basic. Generic "you might also like" recommendations don't move the needle. True 1:1 personalisation at scale seems impossible.

The Solution

AI-Driven Personalisation. You deploy a Personalisation Agent connected to your customer data platform. It analyses individual behaviour patterns, predicts preferences, and generates personalised product recommendations, email content, and on-site experiences for every customer.

How to Get Started

1
Connect

Softblues integrates Gemini Enterprise with your CDP, behavioural data, and transaction history.

2
Model

We configure personalisation rules that combine AI predictions with your merchandising strategy.

3
Prompt

"Generate personalised email content for customers who browsed running shoes but didn't purchase, considering their size preferences and past brand purchases."

AI-Driven Personalisation
Customer Data
Purchase History
Browse Behaviour
Preferences
PersonalizationAgent
Channels
Email
Web
App
Active Segment1/3
Running EnthusiastEmail: New Balance 1080
Case 5

Inventory Intelligence

The Stock Optimiser

The Challenge

You're either overstocked (tying up capital, risking markdowns) or understocked (missing sales, disappointing customers). Demand forecasting spreadsheets can't keep up with market dynamics, seasonality, and promotional impacts.

The Solution

Conversational Inventory Analytics. You deploy an Inventory Intelligence Agent that lets merchandisers query stock levels, demand forecasts, and reorder recommendations in natural language. It combines historical sales, market trends, and promotional calendars to optimise inventory decisions.

How to Get Started

1
Connect

We link Gemini Enterprise to your inventory management, sales history, and demand planning systems.

2
Ground

We configure the agent with your inventory policies, lead times, and business rules.

3
Prompt

"Which products are at risk of stockout before Black Friday? Show me the top 20 by revenue impact and recommended reorder quantities."

Conversational Inventory Analytics
Inventory
Sales
Trends
Promos
Inventory Agent
Running Shoes
23 units
Winter Jacket
156 units
Fitness Watch
8 units
Yoga Mat
89 units
Protein Powder
15 units

Ready to Transform Your E-commerce Operations?

Book a 30-minute discovery call. We'll assess your current AI readiness, identify your highest-impact use case from the five above, and outline a realistic path to production.

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Google Cloud Partner
$1M Professional Indemnity InsuranceServing online retailers and marketplaces

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Discover how Gemini Enterprise powers intelligent agents that transform workflows—from product discovery to inventory optimisation—and learn how to build them for your organisation.

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