Upload product image, get SEO-optimized descriptions, categories, and tags instantly. Scale from 1 to 50,000 SKUs per weekend. Any language, your brand voice.
Every new product needs descriptions, categories, and tags. Your team spends weeks on what should take minutes.
Each product description takes 30-60 minutes. New launches delayed by content bottlenecks.
Need skilled copywriters who understand SEO, brand voice, and product specifics. Expensive and hard to scale.
Expanding to new markets means hiring native copywriters or expensive translation services.
Product descriptions need keyword research, competitive analysis, and SEO best practices. Most teams guess.
AI analyzes product images to generate perfect descriptions, categories, and tags. Your brand voice, SEO-optimized, any language.
No copywriters, no delays. Upload images, configure your brand voice, generate thousands of perfect descriptions.
Upload existing product descriptions and brand guidelines. AI learns your tone, style, terminology, and content structure.
Set up image processing rules for your product types. Define what attributes to extract and how to categorize visually.
Run AI on sample products to fine-tune output quality. Adjust settings until generated content matches your standards.
Process entire product catalog or integrate real-time generation. Monitor quality and performance automatically.
Every element your products need: descriptions, categories, tags, SEO optimization, and multi-language support.
Generate short product summaries, detailed descriptions, and feature lists tailored to different contexts and platforms.
Extract key product features and benefits into scannable bullet points that improve conversion rates.
Create multiple content variations for A/B testing, different channels, and seasonal campaigns.
Maintain consistent tone, style, and terminology across thousands of products automatically.
Automatically identify colors, materials, textures, and finishes from product images with high accuracy.
Recognize design styles, aesthetic categories, and visual themes to improve product discoverability.
Determine target demographics and use cases based on visual product characteristics.
Identify seasonal relevance, occasion suitability, and contextual usage from visual cues.
Assign products to your exact taxonomy structure based on visual analysis and content understanding.
Generate relevant tags for filtering, search, and discovery based on product attributes and market trends.
Identify products that work together and create automatic cross-sell and upsell relationships.
Adapt categories and tags for different marketplaces (Amazon, eBay, Google Shopping) automatically.
Naturally integrate high-value keywords into descriptions while maintaining readability and brand voice.
Incorporate trending search terms and seasonal keywords to improve organic discovery.
Create optimized meta titles, descriptions, and structured data for better search engine performance.
Optimize content length and format for different platforms and devices automatically.
From fashion retailers to industrial suppliers, GP transforms how businesses create and manage product content.
While your team spends weeks on content creation, GP generates thousands of SEO-optimized descriptions from images alone. Scale your catalog at the speed of AI.
Your tech stack stays intact. We just make it intelligent. Connect anything—from that Excel file accounting still loves to your latest microservices. Integration in hours, not sprints.
Native connectors for PrestaShop and Shopify. JavaScript SDK for custom storefronts. REST API for Magento, WooCommerce, VTEX. Real-time inventory sync.
Native integration with Salesforce, Klaviyo, HubSpot. AI-powered segmentation and personalization. Automate campaigns using unified customer data. Transparent, no-code activation.
Unify physical stores with online channels. Loyalty programs, POS systems, inventory management. SAP, Oracle, Microsoft Dynamics ready. Omnichannel truth.
Connect your existing data lake: Snowflake, BigQuery, Redshift, Databricks. Add AI layer without migration. Keep your architecture, gain intelligence.
Activate AI predictions in Mailchimp, Brevo, ActiveCampaign. Push segments to Google Ads, Meta. Your channels stay, intelligence multiplies everywhere.
That Excel from accounting? Those CSVs from 2015? JSON exports? We ingest everything. Automated validation, no manual transformation needed.
Full REST API with GraphQL support. Webhooks for real-time events. Rate limits that scale with your needs. Enterprise-grade security.
// API Example
URL: https://api.pleasepoint.com/api/onetoone/recommendation/getRecommendation
PARAMETERS:
{
"account_id":"XXXXXXXXXX",
"ssid":"XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX",
"deploy_slug": "itemitem-v4_deploy",
"model_type": "item-item",
"product_reference_id": "0904219.66",
"user_reference_id": "4000140388",
"num_items": 3 ,
"rule_slug": "pdp-item-recommendations"
}
RESPONSE:
{
"status": "ok",
"data": [
{
"reference_id": 1357816.84,
"name": "Los Compas perdidos en el espacio",
"price": "€ 19.90",
"url": "https://www.url.com/9788427048348/1357816.84.html",
"image_url": "https://www.url.com/dw/image/2b7c8379/images/large/1357816.84.jpg",
"recommendationId": "RID-f5-45d4-99e8-3c7b1ad35de4-CID-49a0f9"
},
{
"reference_id": 1299455.03,
"name": "El corazón del pirata",
"price": "€ 18.90",
"url": "https://www.url.com/9788414023488/1299455.03.html",
"image_url": "https://www.url.com/dw/image/35cfc573/images/large/1299455.03.jpg",
"recommendationId": "RID-f5-45d4-99e8-3c7b1ad35de4-CID-49a0f9"
},
{
"reference_id": 1336752.48,
"name": "Las Ratitas 2. Súper Alma en acción",
"price": "€ 14.95",
"url": "https://www.url.com/9788408227977/1336752.48.html",
"image_url": "https://www.url.com/dw/image/1a6d0de/images/large/1336752.48.jpg",
"recommendationId": "RID-f5-45d4-99e8-3c7b1ad35de4-CID-49a0f9"
}
]
}Drop-in SDKs for all major languages. One-line integration for JavaScript. Server-side libraries for Python, PHP, Java, Ruby, Go.
// Python SDK - Usage examples with AIstudio:
from pleasepoint_py import AIStudio
studio = AIStudio()
studio.platform.API_NAME.API_NAMESPACE.METHOD(**arguments)
studio.platform.genai.salesAgent.invokeSalesAgent(session_id=ID, user_reference_id=ID, user_prompt=prompt_msg)Real answers from hundreds of deployments. Clear answers about architecture, implementation, and capabilities. For technical teams and business leaders.
7 days to first production use case. Day 1-2: Connect your data sources (API/sFTP). Day 3-4: Platform auto-builds ETL pipelines adapted to your data model. Day 5-6: Configure and train AI models with one-click. Day 7: Deploy via API/SDK or native connectors. No hidden complexity.
Perfect. Connect it directly via SQL/NoSQL connectors. Pleasepoint acts as your AI layer on top, not a replacement. Keep Snowflake, BigQuery, or whatever you use. We read from it, enrich it with AI predictions, and write back. Your data stays where it is.
Yes. AI Studio provides full Jupyter environment with Python ML libraries and Pleasepoint SDK. Direct access to all platform data. Connect any LLM (GPT-4, Claude, Llama). Deploy custom notebooks on schedule. Your team owns the innovation.
Your data never leaves your infrastructure if self-hosted. Cloud version runs on AWS with SOC2, GDPR compliance. Data encrypted at rest and transit. Role-based access control. Full audit logs. You maintain complete ownership and control.
Auto-scaling on AWS. Handles 10K+ predictions/second. Parallel processing for batch jobs. Real-time APIs with <100ms latency. From startup to enterprise load without architecture changes. Pay only for what you use.
Every model is configurable. Adjust parameters, retrain with your data, combine multiple models. Visual configuration for business users, code access for data scientists. Pre-built doesn't mean locked-in.
Start with a single use case. 7-day implementation, monthly billing. Most clients expand to multiple use cases within 60 days after seeing the ROI. No need for annual contracts upfront. Pay as you grow. Cancel anytime with 30 days notice.
Those are ML platforms. Pleasepoint is a business capability platform. We already built the ETL pipelines, feature engineering, model training, deployment orchestration. You configure use cases, not infrastructure. Months of development already done.
Our platform analyzes your data schema and automatically creates optimized pipelines. It detects data types, relationships, and patterns to build feature engineering specifically for ML models. Updates to your schema trigger automatic pipeline adjustments.
Yes. AI Studio provides full Jupyter environment with direct data access. Train any model using TensorFlow, PyTorch, or scikit-learn. Deploy custom models alongside our pre-built ones. Full Python ecosystem available.
Self-hosted option keeps all data on-premise. Cloud version offers region selection (US, EU, APAC). GDPR and SOC2 compliant. Encryption at rest and in transit. Full audit logs available.
Automatic monitoring of prediction accuracy. Alert system for performance degradation. One-click retraining with fresh data. A/B testing for model updates. Full versioning and rollback capabilities.
Cloud: None, we handle everything. Self-hosted: Kubernetes cluster (min 3 nodes), 32GB RAM per node, 500GB SSD storage. Scales horizontally based on load.
Cloud: Based on predictions/month and data volume. Self-hosted: Annual license by company size. No per-user fees. No hidden costs for additional models or connectors.
Multi-AZ deployment by default. Automatic failover in <30 seconds. Data replication across regions. Backup every 6 hours. Point-in-time recovery available.
Default: 10,000 requests/second. Burstable to 50,000/second. No hard limits on batch processing. Custom limits available for enterprise.
ISV-Accelerate Partner with AI/ML and Retail competencies. The infrastructure you trust, the innovation you need.
While they built custom solutions for months, you can have AI in production this week. No more falling behind. Choose your path: explore the tech or jump straight to a PoC with your real data.