Decisions that flow
Augmenting your business flow with intelligent decisions.
Liquid’s AI solutions augment your ability to optimize the economics of the business flow.
We identify and solve economic optimization challenges and realize economic value with all our solutions
We focus on increasing the alpha of the buy-inventory-sell side of product distribution within the CPG, commodities, and institutional investment industries
We deliver solutions that optimize profitability, speed and accuracy of business flows
We understand that speed and proof are critical; demonstrating positive results quickly is fundamental to our success
Experience your AI with Liquid Analytics
Augment your business flow with intelligent decisions. We help Fortune 1000 companies seize the opportunity to Experience their AI. Your data is your most valuable currency. Change the way you think about managing people, creating products, and experiences, generating revenue and reducing costs.
Posts from Liquid Management and Staff
Neural network (NN) models are the brains that comprise AI algorithms. These models are inspired by how a human brain processes information to identify things. While the growing number of available models is staggering, there are several standard models which are used as a starting point when designing more complex models.
Data lakes are beginning to represent the heartbeat of organizational operations and hold the key to optimizing your workflow, while also making data-driven strategic decisions that are powered by AI.
AI and machine learning are best-suited to specific types of tasks and these vary in complexity. For this reason, it is important to determine what you’re looking to accomplish so that you can intelligently configure and aggregate your data for the AI process to produce favorable results.
As more businesses are incorporating AI and ML into their strategy to reduce costs and create better products, they are gaining a competitive advantage over those holding on to traditional means of operation. Employed effectively, AI and ML will provide tide-turning returns for companies. If you’re looking to introduce AI into your business strategy, how do you choose the most effective business cases? How do you measure the empirical value?
As AI is increasingly adopted globally, it is vital to consider how AI can bolster your business. Gartner predicts that by 2020, 85% of customer interactions will be managed without a human. While AI is no silver bullet, when applied effectively, it can enable businesses to tune their customer interaction, marketing, and product design to competitive levels.
The most disruptive force in marketing today isn’t what you think. It’s not a machine. It’s not a device. It’s not an AI interface or a machine learning model or a conversational assistant. It’s the consumer. More specifically, it’s what consumers have come to expect from their brands. And if you can’t meet the needs and preferences of the next-generation consumer, your brand won’t stay relevant for long.
The surest way to grow your brand’s market share is to engage with consumers in a personal and meaningful way. By personalizing UX on every level, businesses give themselves the best chance at scaling their growth. But how do they do this in the realm of eCommerce, where there is often no human-to-human interaction?
Most people have heard of blockchain in conjunction with cryptocurrencies such as Bitcoin or smart contracts like Ethereum. While these applications demonstrate blockchain’s disruptive power, its decentralized, trustless technology has the power to do so much more for businesses and brands everywhere .
AI and blockchain are two of the most disruptive technologies in the world today. Whether it’s using machine learning to narrow down a customer’s preferences, or utilizing blockchain to create a secure, robust database, it’s hard to get very far in the modern marketplace without them.
Imagine you have an exciting new product. It’s something your team has spent months brainstorming, planning, tweaking, and honing until it matches your collective vision. You did everything right internally. But then, after spending all that valuable time, money, and resources, something doesn’t work as you thought when you release it to the world. Something you didn’t foresee stands between your product and a happy end user. Now you’re forced to start over from scratch.