Paretos

paretos is an Agentic AI tool that optimizes planning in Supply Chain & Operations. It helps companies automate planning, reduce inventory costs, and improve service levels.

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At a glance

Pricing

Custom

Free tier

API

Skill level

Technical

About

What is paretos?

paretos is an Agentic Decision Intelligence platform designed to optimize supply chain and operations planning through AI. It enables companies to automate complex planning tasks, reduce inventory costs, and enhance service levels. The platform offers solutions for demand forecasting, inventory optimization, resource planning, and replenishment planning across various industries like retail, consumer goods, logistics, and manufacturing. paretos integrates with existing ERP, BI, and planning systems, providing measurable ROI within months. Its intuitive interface allows users to leverage AI without requiring data science expertise, making advanced planning accessible and efficient.

Best used for

Ideal for product managers and data scientists who need to automate planning, reduce inventory costs, and improve service levels. Especially valuable for companies in retail, consumer goods, logistics, and manufacturing looking to optimize demand forecasting, inventory, and resource allocation with Agentic AI.

Common actions

optimize supply chain

forecast demand

manage inventory

automate planning

improve service levels

Capabilities

Key features

Demand forecasting
Inventory optimization
Resource planning
Replenishment planning
Agentic AI automation
Flexible data inputs
ERP/BI system integration

Target Audience

product managerdata scientistsmall business owner

Integrations

sap-ibpompaps

Pricing & Plans

Custom

Not publicly disclosed. Check paretos.com for current pricing.

FAQs

What kind of data is required to use paretos?

To use paretos, you generally need input and output data, ideally recorded on separate lines. Input data can influence output data, such as marketing ad spend affecting conversion rates. This includes both controllable parameters and uncontrollable factors like competitor prices.

Is there a minimum amount of data needed to start with paretos?

Yes, a relevant amount of data is required, though it might be less than expected, with some customers starting with just 100 data rows. paretos algorithms automatically select and train prediction models, providing insights into data sufficiency and model improvement as new data is added.

How quickly can initial results be expected from paretos?

You can expect initial insights into the impact of your input data on results within two weeks, based on an initial prediction model. If extensive data preprocessing is needed, it may take longer. During the three-month onboarding, experts provide close support to refine results.

Can existing prediction models be integrated into the paretos platform?

Yes, existing models can be imported. If a model already exists, initial results can be obtained within a few hours by connecting it to paretos. The model runs on your infrastructure, with the paretos platform exchanging only metadata to provide dynamic trade-offs.

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