TRENDS
AND INSIGHTS

AI-driven demand forecasting and planning software is a powerful tool for retail and hospitality operators struggling to manage demand shocks and tighter margins. Fluctuations in demand, especially for perishable products, are often a major budget leak because it is difficult to predict demand accurately, in a timely manner, and regularly. The ReFED/2023 data sho... Read the article >

Retailers on the bleeding edge have one common characteristic: awareness. Their ability to understand their inventories and supply chain disruptions in real time, optimize store layouts and hyper-personalize customer experiences could be likened to be supernatural. Companies virtually mirroring their operations with digital twins are leaving their competitors beh... Read the article >

As point-of-sale (POS) systems evolve to serve the omnichannel market, mobile integrations, and real-time analytics, scalability is no longer a bonus; now it’s a necessity. For CTOs and system architects, the challenge is to ensure that all transactions, across all locations and channels, are smooth, stable, and reliable. Having worked with POS solutions deployed... Read the article >

Hospitality industry leaders are rapidly embracing new technology that will enable them to achieve a competitive advantage in the future. At the same time, SaaS providers are seeking new ways to enhance the functionality of their products using the latest possibilities in artificial intelligence, big data, and machine learning. Their innovations are shaping the m... Read the article >

The hospitality industry is gaining momentum—but so is the pressure to modernize. Guests expect fast, seamless service. Operators expect smarter tools. Whether you’re running a hospitality business or building software for one, staying competitive now depends on the technology behind the experience. My name is Andrii Makarov, and I’m a Solution Architect at... Read the article >

Any retail SaaS provider would agree that good performance is not just a technical metric to talk about during meetings. Each time your platform slows down, even for a couple of seconds, you get irritated users, lower sales, and the conversion rate you planned for goes way down. All the variety of technical issues that arise weekly, if not daily, are augmented wi... Read the article >

AI phone ordering is no longer a hype topic—call volumes, labor shortages, and rising guest expectations make it a competitive necessity. If you postpone adoption, tomorrow might simply be too late. The following guide walks you through what an AI phone ordering system can do for your restaurant, hotel, café, or hospitality-tech product—and how you can roll it ou... Read the article >

Artificial intelligence is no longer the preserve of tech giants or bleeding-edge startups. You encounter it every time a voice assistant softens the lobby lighting, a chatbot confirms a table, or a rate optimizer nudges tonight’s price $12 higher. In hospitality, those microinteractions snowball into measurable revenue, leaner operations, and guests who rave ins... Read the article >

Retail is among the top industries driven by innovation, especially in today’s AI-focused tech environment. A seamless, personalized experience across channels driven by mobile, real-time data, and smart automation is what customers expect from any retailer, no matter how old and mature the brand is. The problem with being mature is that sometimes the ways of the... Read the article >

For retail-focused SaaS companies, an outdated ERP can quietly become the biggest barrier to growth. As retailers push for real-time omnichannel experiences, smarter automation, and faster feature rollouts, legacy ERP systems often can’t keep up. Slow, monolithic platforms make it harder to scale, adapt, or integrate with modern retail tech stacks. This guide is ... Read the article >

Artificial intelligence is no longer science fiction in hotels, restaurants, and SaaS platforms that serve them. You see chatbots greeting guests on a booking site, voice assistants answering questions in the lobby, and data‑hungry algorithms nudging diners toward the chef’s special. What matters now is understanding which of these AI agents does more than look c... Read the article >

Smart shelves, sensors, and self-checkouts have become usual tools in shops around the corner. IoT in retail is not a future anymore; it’s a self-sufficient economy that grows by 25.9% annually. Yet, IoT implementation in retail stumbles into barriers—siloed systems, a lack of orchestration, adoption friction, and poor analytics keep retailers from implementing I... Read the article >

Mobile applications have become the dominant channel for sales and transactions worldwide, forcing more retail businesses to shift to their usage. This trend made a significant impact on shopping behavior. People compare prices, scan barcodes, redeem rewards, and place orders online. The result: mobile-first customer journeys became the new must-have. 93% of reta... Read the article >

Picking the right data annotation partner can be the difference between an AI project’s success and failure. Whether it’s image, text, or complex point cloud data, the quality of annotations directly impacts your model’s accuracy. A solid data annotation company can help you turn raw data into reliable, labeled datasets that power machine learning. Wi... Read the article >

Omnichannel retail has become a business imperative. Today’s customers expect a seamless experience, whether they’re browsing a website, using an app, or walking into a store. For large retailers, especially those still running on legacy systems, meeting that expectation takes more than just vision. It requires the right tech foundation. There are so many moving ... Read the article >

Omnichannel retail aims to provide shoppers with a consistent, personalized experience across every channel—brick-and-mortar, mobile apps, websites, and social media. In reality, many retailers end up with fragmented data that undercuts this vision. Marketing teams might store information in one system, while supply chain data remains locked in another. These dis... Read the article >

AI is becoming a must-have for modern ERP systems. It helps teams work faster, reduce manual tasks, and make better decisions. But not every company starts from the same place. Some want to upgrade their existing ERP. Others are building something new. And many just need smart tools to improve what they already have. In this article, we’ll look at where AI makes ... Read the article >

AI has taken root, causing markets to grow faster and higher. Competition is fierce, and it’s anyone’s game. Frustratingly, the relentless barrage of AI hype cycle marketing confounds the playing field. Your business needs something new, something innovative to maintain your place in the race, but what’s worth betting on?  As a software consulting and engineering... Read the article >

The hospitality world—spanning lodging, restaurants, bars, and more—is evolving rapidly, and AI is right at the heart of that transformation. For SaaS providers serving the industry, AI agents are quickly becoming essential tools for delivering smoother guest experiences, automating day-to-day tasks, and making smarter decisions based on real data. But building A... Read the article >

Data silos remain one of the longest-standing challenges facing retail today. Most organizations, from aspiring SaaS providers to multi-channel retailers, spend a great deal on system upgrades but still struggle with siloed data. Silos block real-time visibility, integrated customer experience, and successful analytics. As someone who has spent the last decade de... Read the article >