TRENDS
AND INSIGHTS

For retail-focused SaaS companies, an outdated ERP can quietly become the biggest barrier to growth.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 ... Read the article >

Retail mobile applications have become the dominant channel for sales and transactions worldwide, forcing more 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. A survey co... 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 >

Today’s retailers are caught between the need for modernization and the challenges of technology updates. On the one hand, implementing novel solutions like AI agents in retail offers deeper insights for decision-making and new ways to improve customer experiences. On the other hand, high upfront costs, lack of technical expertise, and not knowing which solutions... Read the article >

If there’s one thing I’ve learned from working with ERP systems, it’s that no two businesses have the same needs. Some companies get by with outdated software, even though it holds them back. Others are constantly looking for smarter, AI-powered ERP solutions that can scale with their growth. The real challenge? Finding the right mix of flexibility, performance, ... Read the article >

Businesses are always looking for ways to stay agile in a fast-paced environment. With the introduction of artificial intelligence, most organizations have experimented with AI-powered chatbots, data analysis, or process automation. Yet AI encompasses far more than simple Q&A or static recommendation systems. Agentic AI—sometimes referred to as Agent AI—takes... Read the article >

For SaaS product executives in the inventory management space, AI presents a game-changing opportunity to enhance software capabilities, optimize operations, and deliver greater value to customers. Whether you’re modernizing an existing IMSaaS platform with AI-driven forecasting and automation or building a next-gen inventory management solution from the gr... Read the article >

Companies today grapple with market saturation, aggressive timelines, and calls for innovation at scale. Many consider the Agentic AI an actionable solution to these challenges, that will help optimize operating costs, automate key processes, and retain high performance levels. Yet, companies often struggle to understand where to begin with AI Agent Development. ... Read the article >

Retail businesses are in a constant uphill battle against the distractions of the real world. In a brick-and-mortar store, people are immersed in their surroundings and can engage with that environment in natural ways that focus on the purchasing process. Until recently, online storefronts haven’t been able to provide the same experience, and this has resulted in... Read the article >

AI-powered chatbots are a modern goldmine for retail and e-commerce. Gartner research indicates that traditional search engine volume will decline by 25% by 2026 as users will move to AI chatbots and virtual agents. But here’s the catch: this can only happen when chatbots are built properly. Clunky chatbots disrupt retail experiences and force users to abandon th... Read the article >

If you are here, you probably know about the transformative power of AI for businesses. With the emergence of foundation models like CHAT GPT, Google’s Bert language models, Nvidia neural networks, DALL-E and others, requirements for entering the AI market grow exponentially.  Meanwhile, data remains a by-product of any active business and ignoring its existence ... Read the article >

The correct choice of infrastructure for a tech-based startup may help to cope with unpredictable user base growth, volatile demand, and server load. In other words, it’s crucial for scaling. And you should take a hard look at such infrastructure options as Firebase, Lambda on PHP, Kubernetes, and Docker Swarm to understand how to scale a software product correct... Read the article >