RBM Software

91% of food delivery apps burn $500K+ before the end of year one. Most teams assume the build is the expensive part. It is not. A $150,000 build can cost $400,000 more to operate in year one alone. The gap between those two numbers is not bad luck. It is a set of decisions that were never planned for before the first line of code was written. The architecture decisions made at build time determine what operational costs look like twelve months later. Monolithic panels that take down an entire platform when one component fails. Compliance frameworks retrofitted into existing code at three to five times the cost of building compliant from the start. Technical shortcuts that compound into expensive rebuilds the moment the platform starts to scale. None of these are surprises. They are predictable. And they are avoidable when the right decisions are made before the build begins. Scroll to see the decisions that drive operational costs up and how we engineer food delivery platforms so none of them catch you after launch. #fooddeliveryappdevelopment #rbmsoft

47% of employees struggle to find the information they need to do their job. 62% of digital workers say searching wastes too much of their time. 1,000 information workers cost their organization over $5M annually, just from search inefficiency. That's the human cost. The AI cost is higher. When your agents can't retrieve the right context, they are not just failing. They are producing confident, incorrect outputs. They answer the question that was typed, not what it meant. Cognitive search is the infrastructure layer that makes agentic AI trustworthy. Scroll to see what it actually is and what it must do. #cognitivesearch #aiagents #rbmsoft

The biggest food chains in the world don't guess what tomorrow looks like. They forecast it. McDonald's knows which locations will run short on ingredients before it happens.  Starbucks knows which stores will be slammed before the shift starts.  Yum! Brands knows which menu items to push before customers decide. This is AI demand forecasting, and it's built on data every restaurant already has. And if you think the difference between them and most restaurants is the budget, then you’re wrong. It’s the architecture, and they connected their POS, inventory, supply chain, and staffing into one system and let AI work on predictions at the item, hour, and location level. Scroll to see exactly how each brand did it, and what it would look like for your operations. #McDonalds #Starbucks #Ai #demandforecasting #RBMSoft

AI agents can now book, buy, and decide on your customer's behalf. But when they make a mistake, who is responsible? That is not a hypothetical. It is something every business deploying agents needs to plan for today. You cannot eliminate the risk, but you can build systems that are robust enough to manage it faster than it evolves. There are three risk areas you need to understand if you’re planning to go agent-ready. Systemic risk: One faulty prompt can trigger a cascade of unintended consequences across interconnected systems. Accountability: When an agent makes a poor decision, there is currently no global consensus on who is liable. Data ownership: AI agents run on data, and data is increasingly political. Risk is not the opposite of opportunity. Every significant technology shift brings new exposure, and agentic commerce is no different. Therefore, at RBMSoft, we design agent systems with fail-safes, reversibility, and clear escalation logic built in from the start. We build with explainability at the center, so there is always a clear, auditable trail when accountability questions arise. And we embed data sovereignty from day one, structured for the regulatory environment your business actually operates in.  

Most businesses take the wrong route when adopting AI. They deploy tools before fixing the fundamentals. Strong models. Weak inputs. Disappointing results. The businesses that see real ROI from AI are the ones that follow a clear process, not a shortcut. There are three layers that need to work together: Data readiness: your AI is only as smart as what you feed it. Incomplete attributes, inconsistent naming, vague descriptions, and missing behavioral signals. These don't just slow AI down. They make it guess. Technology integration: AI doesn't sit in isolation. It sits between your core systems. Your data management layer, your search and recommendation engines, your analytics stack, your platform APIs. These need to be connected and clean before intelligence can flow. Phased rollout:  Teams usually try to deploy everything at once, and that kills the momentum. The smarter approach is sequential: fix your data, add intelligent search, layer in personalization, introduce AI-driven prioritization, then expand into advanced capabilities when your foundation is mature. What the roadmap really achieves is not just better outputs. It's a system that gets smarter with every new signal your users generate. Scroll to see the full adoption roadmap, from data foundation to advanced AI capabilities. #ai #retailtechnology #digitaltransformation #rbmsoft

We said more to come. Here it is. Manoj Mane and Andy (Anand) Mukherjee completed RBMSoft's on-ground visit to Suriname — and it delivered exactly what we went there to do. Over the course of the visit, we met with leadership across organizations: → U.S. Embassy Suriname → Marriott Businesses Suriname → Itee NV → Staatsolie Oil & Gas Suriname The conversations spanned digital transformation priorities, operational modernization, and where RBMSoft fits as a long-term partner in Suriname's growth story. This is a market with real momentum and organizations that are ready to move. We went in to strengthen partnerships. We came back with a clearer picture of the work ahead and the relationships to do it with. Suriname isn't a market we're exploring. It's one we're committed to. #RBMSoft #Suriname #DigitalTransformation #GlobalExpansion #StrategicPartnerships #EnterpriseAI

E-Commerce teams find out a customer has churned the same way they find out about most problems, in a report, after it's already happened. By then, the revenue is gone. A client came to us with high churn, inconsistent repeat purchases, and no reliable signal for when a customer was about to leave. We engineered a machine learning system trained on real behavioral data, clickstream signals, purchase recency, engagement decay, and inactivity patterns, that outputs two things in real time, i.e., churn risk score and lifetime value prediction. Since prediction alone doesn't retain customers, we built a decisioning layer that automatically triggered the right offer, the right incentive, at the moment the signal said act. After that, the churn is predicted before it happens, revenue is protected, and zero manual oversight is required. Swipe to walk through the full system, the problem, the architecture, and where to start if you're dealing with the same challenge. #Ecommerce #rbmsoft

We’re taking the next step in our journey in Suriname. Following our recent announcement of a strategic collaboration with partners in Suriname, we’re now moving from alignment to on-ground execution. Team RBMSoft are on their way to Suriname to meet partners, align priorities, and exploring how we scale this into something meaningful for the region. This visit is focused on: • Strengthening partnerships on the ground • Understanding local opportunities and realities • Laying the foundation for long-term capability building More to come as we move forward. #Suriname #GlobalExpansion #RBMSoft

We’re taking the next step in our journey in Suriname. Following our recent announcement of a strategic collaboration with partners in Suriname, we’re now moving from alignment to on-ground execution. Team RBMSoft are on their way to Suriname to meet partners, align priorities, and exploring how we scale this into something meaningful for the region. This visit is focused on: • Strengthening partnerships on the ground • Understanding local opportunities and realities • Laying the foundation for long-term capability building More to come as we move forward. #Suriname #GlobalExpansion #RBMSoft