Skip the 6-month data pipeline project. The only AI platform that adapts to your data model. Our platform reads your schema, builds the ETLs, and deploys models. You focus on business outcomes, not infrastructure.
Not just tools, but an orchestrated system. Each layer builds on the previous one, automating months of work into days. Your data flows in, business value flows out.
Unify ERP, CRM, eCommerce, databases into one truth. API/sFTP connectors handle streaming and batch. Zero data silos, all synchronized.
Stop wasting months integrating data. Our foundation unifies everything - ERP, CRM, eCommerce, databases - through 500+ connectors. Real-time CDC, batch processing, SQL/NoSQL support. One unified lake, zero silos.
Self-building ETLs adapt to your data model automatically. Feature engineering, normalization, validation for ML. No manual pipeline coding.
Stop wasting months integrating data. Our foundation unifies everything - ERP, CRM, eCommerce, databases - through 500+ connectors. Real-time CDC, batch processing, SQL/NoSQL support. One unified lake, zero silos.
Churn, CLV, propensity, recommendations - all one-click configurable. Product matching, scorings, next-best-action. ML/DL models ready.
Deploy ML models without data scientists. Predict churn (85%+ accuracy), calculate CLV, score propensity, generate recommendations. Visual interface, zero coding. Models continuously learn and retrain. Focus on using predictions, not building them.
Deploy predictions via REST API/JS SDK for real-time <100ms or batch-enrich CRM/automation databases. Native connectors included.
Get predictions into production instantly. Real-time API delivers <100ms responses. Batch mode enriches your CRM/databases overnight. Native Shopify, PrestaShop, Salesforce, HubSpot... connectors included. No integration projects - just use AI.
Gen-AI bulk generation: product descriptions from images, auto-categorization, smart tagging. Process thousands of SKUs with visual analysis.
Transform catalogs overnight. Generate descriptions from images, auto-categorize, create SEO content - thousands of SKUs simultaneously. Visual AI maintains brand consistency. Powered by Claude/GPT-4.
Schedule and chain data flows with parallel execution. Event-triggered pipelines via Temporal API. Not workflow builder - pure pipeline orchestration.
AI agents that actually convert. Combine predictive scores with generative responses to guide customers to purchase. Full context awareness using complete history. Deploy via API, CRM workflows, or batch campaigns. Multi-channel ready and B2B/B2C optimized.
Schedule and chain data flows with parallel execution. Event-triggered pipelines. Not workflows builder, pure execution pipeline orchestration.
Stop managing flows manually. Schedule workflows, chain processes, handle dependencies automatically. Temporal-powered reliability. Parallel execution, automatic retries. Visual designer simplifies complexity.
Full Jupyter with Python ML libraries and Pleasepoint SDK. Direct platform data access, train any model, deploy custom notebooks on schedule.
Your AI playground. Write Python, train custom models, deploy as APIs - one click. TensorFlow, PyTorch, scikit-learn pre-installed. Connect any LLM. Schedule notebooks or trigger via API. Custom AI without infrastructure headaches.
Embed AI directly into your eCommerce, website, or mobile app. One API call, any language, zero complexity. One JavaScript line adds personalization to any page. Also native plugins for PrestaShop or Shopify. Your frontend team ships AI features today, backend team sleeps peacefully.
curl -X POST https://api.pleasepoint.com/api/models/clv/getCLVInfo \
-H 'Content-Type: application/json' \
-d '{
"account_id":"XXXXXXXXXXXXXXXXXXXX",
"private_api_key":"XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX",
"ssid":"XXXXXXXXXXXXXXXXXXXX",
"reference_id": "user-123456789"
}'
# Response:
{
"status": "ok",
"data": {
"reference_id": "user-123456789",
"email": "user-123456789@domain.com",
"name": "name-2900021542887",
"surname": "surname-2900021542887",
"rfm_group": "Low",
"clv_group_name": "Recent customer",
"last_clv_group_name": "Recent customer",
"evolution": "equal",
"clv_outlier": 0,
"recency": 7,
"frequency": 9,
"monetary": 856.9,
"ltv": 4903.78,
"tbp": 44.38,
"diff_tbp_recency": 37.38,
"last_execution": "2025-09-16 00:03:00"
}
}const widget = pleasepointWidget.create('recommendation', {
accountId: 'my_account_id',
numRecommendations: 4,
cols: 2,
showSlider: true, // optional, default false
// engine-specific attributes
businessRule: '',
businessRuleParams: {"param1": ["value1", "value2"]}, // optional
userReferenceId: '', /* OR */ email: '',
sessionId: '', // optional, see note
eventSourcePage: '', // optional
eventSourceBlock: '', // optional
});
// widget is a regular HTML element, insert it into the page as usual
// for example:
document.body.appendChild(widget);
Connect any SQL/NoSQL database, any infrastructure, any CRM. Your AI syncs automatically to Salesforce, Klaviyo, HubSpot, MongoDB, PostgreSQL, Snowflake, every system your teams touch.
CREATE TABLE datamodel_clv (
CustomerId varchar(255),
Email varchar(255),
ContactId varchar(255),
LTV_VALUE double precision,
REC_VALUE double precision,
FREQ_VALUE int,
MON_VALUE double precision,
CLV_SEGMENT varchar(255),
ID_CLV_SEGMENT varchar(255),
CLV_SCORE varchar(255),
ID_CLV_SCORE varchar(255),
TEMPERATURE varchar(255),
DAYS_BTW_PURCHASE double precision,
TICKET_AVG double precision,
FIRST_TICKET_DATE timestamp,
LAST_TICKET_DATE timestamp,
LST90DAYS_REVENUE double precision,
LST180DAYS_REVENUE double precision,
LST360DAYS_REVENUE double precision,
LST90DAYS_FREQ int,
LST180DAYS_FREQ int,
LST360DAYS_FREQ int,
CG_SEGMENT varchar(255),
CLV_EVOLUTION varchar(255),
DIFF_TBP_RECENCY double precision,
BUY_CYCLE_PERCENT int,
EMAIL_COMMUNICATIONS boolean
);Predicts customer lifetime value combining purchase history, engagement metrics, and behavioral patterns. Updates in real-time as customers interact.
CREATE TABLE datamodel_briefing (
"CustomerId" varchar(255),
"Email" varchar(255),
"ContactId" varchar(255),
"PROP_CATEGORY_N3_1101_DRY_FOOD" double precision,
"PROP_CATEGORY_N3_1102_CANNED_GOODS" double precision,
"PROP_CATEGORY_N3_1103_DAIRY" double precision,
"PROP_CATEGORY_N3_1104_LIQUIDS_AND_BEVERAGES" double precision,
"PROP_CATEGORY_N3_1201_MEAT" double precision,
"PROP_CATEGORY_N3_1202_REFRIGERATED_COOKED_DISHES" double precision,
"PROP_CATEGORY_N3_1203_TRADITIONAL_CHARCUTERIE" double precision,
"PROP_CATEGORY_N3_1204_FROZEN_FOODS" double precision,
"PROP_CATEGORY_N3_1205_DAIRY_DERIVATIVES" double precision,
"PROP_CATEGORY_N3_1206_FRUITS_AND_VEGETABLES" double precision,
"PROP_CATEGORY_N3_1207_BAKERY_AND_PASTRY" double precision,
"PROP_CATEGORY_N3_1208_FISH_AND_SEAFOOD" double precision,
"PROP_CATEGORY_N3_1209_CHEESE" double precision,
"PROP_CATEGORY_N3_1301_DRUGSTORE" double precision,
"PROP_CATEGORY_N3_1302_PERFUMERY" double precision,
"PROP_CATEGORY_N3_1400_BAZAAR" double precision,
"PROP_CATEGORY_N3_1900_PROMOTIONAL_PRODUCTS" double precision,
"PROP_CATEGORY_N3_2201_ADVERTISING_ITEMS" double precision,
"PROP_CATEGORY_N3_2301_STORE_MATERIALS" double precision,
"PROP_CATEGORY_N3_9999_OTHER_SECTIONS" double precision
);Scores likelihood to purchase specific products or categories. Combines browsing behavior, past purchases, and contextual signals for real-time personalization.
CREATE TABLE datamodel_onetoone (
CustomerId varchar(255),
Email varchar(255),
ContactId varchar(255),
RECOM_PRODID_1 varchar(255),
RECOM_PRODID_1_SCORE double precision,
RECOM_PRODID_2 varchar(255),
RECOM_PRODID_2_SCORE double precision
RECOM_PRODID_3 varchar(255),
RECOM_PRODID_3_SCORE double precision
RECOM_PRODID_4 varchar(255),
RECOM_PRODID_4_SCORE double precision
RECOM_PRODID_5 varchar(255),
RECOM_PRODID_5_SCORE double precision
RECOM_PRODID_6 varchar(255),
RECOM_PRODID_6_SCORE double precision
RECOM_PRODID_7 varchar(255),
RECOM_PRODID_7_SCORE double precision
RECOM_PRODID_8 varchar(255),
RECOM_PRODID_8_SCORE double precision
RECOM_PRODID_9 varchar(255),
RECOM_PRODID_9_SCORE double precision
RECOM_PRODID_10 varchar(255),
RECOM_PRODID_10_SCORE double precision
);Complete 360° customer view merging all touchpoints. Powers hyper-personalized experiences with individual preferences, behaviors, and AI-generated recommendations.
Generate perfect product content from images alone. Our AI analyzes photos, writes SEO-optimized descriptions, assigns categories, and maintains your brand voice. Process one product or 100,000. In any language. Tonight.
Upload product photo, get 20+ attributes. Colors, materials, style, season, use cases - all extracted automatically. What took hours now takes seconds.
AI assigns products to your exact taxonomy. Creates cross-sell connections, suggests related items, optimizes for marketplace requirements.
From one image: long description, short description, bullets, meta tags. Your tone, your style. 15 languages available instantly.
Perfect for live operations. Product uploaded → description generated → ready to publish.
Weekend catalog refresh. Upload 50,000 SKUs Friday night, wake up Monday with everything done.
One Jupyter environment with everything connected. Access your unified data, any LLM, any cloud provider. Write Python, train models, deploy to production. No DevOps team required. From notebook to API endpoint in 3 clicks.
from pleasepoint_py import AIStudio
studio = AIStudio()
import pandas as pd
import numpy as np
from datetime import datetime,timedelta
studio = AIStudio(fileManager_opts={'use_ftp': False})
fecha_actual = datetime.now().strftime('%d-%m-%Y')
'''file_path_customers =f'customers_{fecha_actual}.csv.gz'
customers = studio.fileManager.get_dataframe_from_csv(file_path_customers,compression='gzip',encoding='utf-8')'''
file_path_tickets =f'tco87t_{fecha_actual}.csv'
tickets = studio.fileManager.get_dataframe_from_csv(file_path_tickets,encoding='utf-8')
sql1 = """
select u.reference_id as user_id, u.contact_id, uv.value as cod_cli_bbdd
from "user" u
inner join user_value uv on uv.user_id=u.id and uv.key = 'cod_cli' """
bbdd_users = studio.crm.executeQuery(sql1)
sql2 = """
select reference_id as product_id
from product """
bbdd_products = studio.crm.executeQuery(sql2)
# Cleaning data code
studio.crm.invokeIngestion("ticket", tickets, wait=True)
Complete platform documentation, case studies, ROI calculator. Everything you need for internal evaluation.
View resourcesWorkshop your specific use case. Our engineers + your team = custom implementation roadmap in one session.
Schedule workshopSome data can't leave your servers. Some workloads need cloud scale. Choose the deployment that matches your reality, not ours. Both options go to production in the same 7 days.
Zero infrastructure headaches. We handle everything: scaling, updates, backups, security. You focus on using AI, not maintaining servers.
Keep sensitive data on-premise, use cloud for compute. Perfect for regulations like GDPR, HIPAA, or internal policies. Maximum flexibility, total control.
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)While others spend months on data pipelines and model training, you'll be in production next week. Every capability pre-built, tested, and ready to scale from day one.
Connect 500+ systems. Scattered data becomes unified truth in hours, not months.
Platform auto-generates optimized pipelines. Schemas change, pipelines adapt.
Keep existing tech stack. Connect legacy to cloud. No migrations, instant AI.
Skip months of development. Production-ready models with top accuracy from day one.
Transform thousands of products into perfect descriptions in hours with your brand tone.
Full Jupyter environment. Train custom models, connect any LLM and easy deploy.
Real-time predictions. Batch enrichment overnight. Native plugins for instant activation.
Easy data flows. Event triggers. Parallel processing. Enterprise power with simplicity.
10,000+ requests/second. 99.9% availability. Elastic scaling matches your demand.
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.
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.
ISV-Accelerate Partner with AI/ML and Retail competencies. The infrastructure you trust, the innovation you need.