SourceForge

Learn how InEight helps capital projects connect risks and change orders to improve forecasts, strengthen control, and prevent costly overruns. https://lnkd.in/gDgaaEip

Wash-Dry-Fold POS is purpose-built laundromat software that combines point of sale, order tracking, pickup and delivery, employee management, reporting, loyalty, repair tracking, and more in one easy-to-use platform. Designed by laundromat owners and proven across high-volume stores nationwide, it helps operators streamline daily operations, reduce errors and theft, and scale from a single location to a multi-store business. In this episode, we speak with Ian Gollahon, co-founder and CEO of Wash-Dry-Fold POS, about how he built a laundromat point-of-sale system from the ground up by using his own stores as the test bed. The conversation focuses on the difference between self-serve payment systems and a true wash-dry-fold POS, and why generic retail tools like Square often fall short once orders need to be tracked through every step of the process. Ian explains that the platform is designed to manage the actual counter operation: creating orders, tracking machines, logging timestamps, sending customer texts, and keeping everything tied to the right load of laundry. The episode also explores why the software matters most for fully attended laundromats, especially those offering wash-dry-fold service at scale. Ian explains how the system helps owners reduce mistakes, prevent theft, and avoid customer disputes by maintaining a detailed audit trail of what happened to each order. He stresses that the real cost of software is not just the monthly fee, but also payment processing rates, hardware reliability, and how easy the system is for attendants to use. That usability theme runs throughout the conversation, with Ian noting that a tool only works if the people running the store can actually adopt it day to day. A major theme of the conversation is that business software should reflect the real workflow of the business, not force owners to adapt to generic retail assumptions. Ian emphasizes that laundromat owners need tools that help manage employees, track shift tasks, and keep multi-store operations visible from a single dashboard. He also shares that the best POS depends on the business model: some laundromats need wash-dry-fold management, while others may be better served by delivery- or dry-cleaning-focused tools. The episode closes with Ian’s advice to focus on your core laundromat business first, then scale into delivery only when the underlying operation is already strong and profitable.

A look at how MikMak is helping brands use AI and predictive commerce intelligence to turn fragmented data into faster, smarter marketing decisions. https://lnkd.in/g9EV9wM9

See how trusted ERP data helps manufacturers make faster decisions, with Global Shop Solutions showing the value of connected, AI-ready information https://lnkd.in/ghzq74rm

FarsightIQ is an AI-powered retail intelligence platform that helps retailers predict demand, optimize inventory, uncover actionable insights, and make faster, data-driven decisions. Its suite of predictive analytics, machine learning, and computer vision solutions helps improve forecast accuracy, boost sales and margins, reduce carrying costs, and enhance the customer experience. In this episode, we speak with Scott Pearson, VP of Sales and Marketing at Jesta I.S., about how the company is using AI to help retailers move from hindsight to foresight and then into action. The conversation focuses on FarsightIQ, Jesta’s new AI division, and how it’s designed to help retailers deal with inventory distortion, stockouts, overstocks, and the complexity of modern retail planning. Scott explains that the platform is built as a decision-intelligence layer, not just a reporting tool, so it can observe demand, anticipate outcomes, recommend actions, and still keep a human in the loop. The episode also explores how FarsightIQ is organized into several modules, including demand forecasting, product attribution, replenishment, inventory balancing, risk detection, natural-language advising, and operational matching. Scott explains why traditional analytics often fall short, especially when retailers are dealing with fragmented data, changing channels, promotions, local events, and seasonal differences. He emphasizes that the system is designed to work with both constrained and unconstrained demand, helping retailers understand not just what sold, but what could have sold if inventory had been available. A major theme of the conversation is that AI is most effective when it supports, rather than replaces, human judgment. Scott stresses that merchants and planners still need oversight because they understand context that AI may miss, such as local events, vendor issues, or visual changes in-store. He also explains that successful AI adoption depends on clean, focused, and well-structured data, and that retailers should start with the highest-value use cases instead of trying to solve everything at once. The episode closes with Scott’s advice to focus less on systems themselves and more on the decisions those systems are meant to improve.

Learn why AI alone cannot replace human career coaching and how INTOO combines technology with personalized outplacement support during career transitions. https://lnkd.in/gAwnpWmX

Auth0 makes it fast and easy to add secure, scalable authentication and authorization to any application, API, or AI agent. With 30+ SDKs, enterprise-grade security, fine-grained access controls, and support for billions of monthly logins, it helps teams launch faster without building identity from scratch. In this episode, we speak with Gareth Davies, Chief Product Officer at Auth0, and Monica Bajaj, SVP of Engineering at Okta. This conversation centered on how identity is becoming a strategic growth driver in SaaS, especially as AI agents and machine identities multiply and enterprise workflows get more complex. The main takeaway was that modern identity systems need to be organization-aware, multi-tenant safe, and built for self-service so they can scale without creating security, compliance, or engineering bottlenecks. It also highlighted the shift from static role-based permissions to more dynamic, context-aware authorization, and closed with the idea that probabilistic thinking helps teams make better decisions in uncertain, fast-changing environments.

Discover how T-Mobile for Business SuperMobile combines 5G network slicing, satellite connectivity, mobile security, and premium data to keep mobile workforces connected. https://lnkd.in/g54PPcba

Discover how Boostero | SMM Panel’s analysis of more than one million orders reveals changing social media demand, engagement trends, and platform-specific growth strategies. https://lnkd.in/g9Ua57dH

The article examines how 1mind’s buyer-facing AI sales engineer joins live calls to answer technical questions, reduce handoff delays, and extend specialist coverage across the customer journey. https://lnkd.in/gEhr8iSA