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What is Lokad?
Each possible future scenario must be scrutinized, as every alternative presents its own level of probability. It is crucial to assess all feasible choices against their potential outcomes and associated likelihoods. Economic considerations should inform the prioritization of these feasible alternatives. To ensure effective management, automating routine tasks is vital. The responsibility for quantitative results falls on the Supply Chain Scientist. Lokad provides valuable video content on Quantitative Supply Chain, addressing various subjects like demand forecasting, inventory oversight, pricing tactics, and additional relevant areas. These materials feature weekly dialogues with supply chain specialists, succinct summaries of fundamental principles, and structured lectures on supply chain mechanics. The Quantitative Supply Chain perspective introduces a novel and creative approach to optimizing supply chains, prompting a thorough reevaluation of many traditional methods, especially in inventory forecasting. This methodology is engineered to utilize cutting-edge statistical techniques alongside the vast computational capabilities available today, leading to a more streamlined future in supply chain operations. Ultimately, the adoption of contemporary analytics within supply chain strategies can vastly improve the decision-making processes and overall operational efficiency. By embracing these innovative practices, organizations can better navigate the complexities of modern supply chains.
What is Liquid d1?
d1 is the first decision model introduced by Liquid AI, which offers answers to structured questions about a given situation by utilizing probabilities rather than generating text responses. This innovative model efficiently processes unstructured data, such as textual and visual inputs, along with one or more inquiries in a single, cohesive forward pass, yielding probabilities without producing traditional output tokens. It supports three specific question formats: noul for simple yes-or-no choices, choice for selecting from a set of labels with their corresponding probabilities, and score for evaluating inputs on a ranked scale using probability metrics. Additionally, d1 is capable of processing multiple questions at once within a single query, thereby boosting its effectiveness in real-time decision-making scenarios. Liquid AI demonstrates the versatility of d1 across various applications, including the filtering of support tickets, exploring code repositories, intelligently categorizing documents into folders, managing websites, summarizing agent context, inspecting industrial parts, and even participating in games based on screenshots. This wide array of applications showcases not only the model's adaptability but also its potential to transform decision-making processes across different industries, emphasizing a notable leap forward in the realm of decision-making technologies.
Integrations Supported
Claude Opus 5.5
GPT-6.1 Sol
Hugging Face
OpenRouter
Vercel
API Availability
API Availability
Has API
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Pricing Information
Free
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
Training Options
Documentation Hub
Webinars
Company Facts
Organization Name
Lokad.com
Date Founded
2006
Company Location
France
Company Website
www.lokad.com
Company Facts
Organization Name
Liquid AI
Date Founded
2023
Company Location
United States
Company Website
www.liquid.ai/blog/d1-decision-model
Categories and Features
eCommerce
CRM
Data Security
Inventory Management
Kitting
Mobile Access
Multi-Store Management
Reviews Management
Templates
Categories and Features
AI Decision Models
Not specified