Custom MRP & Production Planning Software Development for Manufacturers

We lead discovery with engineering, using real event logs and AI to produce execution-ready BPMN in days and deliver a feasibility-tested, costed, risk-adjusted roadmap with clear ROI and cutover planning.

• Process reality audit. We extract the key processes from your production logs and turn them into a standardised process inventory that can be executed, and we also validate them against non-negotiable criteria you’ve agreed to beforehand.
• Process Mining & Bottleneck Analysis. We use automated process-mining techniques on your event logs to build accurate models of how your processes work, and then we give you a list of high-priority changes that need to be made, along with a confidence score, and we validate all of this with test cases that you can track.
• Predictive Ops Readiness Audit. Look at the quality of your data, who uses it, and how it’s been manipulated. We build a working prototype of a feature store for you, and we give you the green light on whether your systems are ready for model-driven ops — complete with drift detection and service level agreements.
• Digital Twin Feasibility Sprint. We determine how much detail you’ll need from your sensors to make a digital twin work, and then we put together a hybrid physics+ML simulation contract that you can measure the success of with clear, measurable goals in just 6-8 weeks.
• Execution Roadmap and ROI Model. Webuild out a step-by-step roadmap with clear stop/go checkpoints and a migration playbook, and we also produce an AI-driven ROI simulator so you can see the impact of your planned changes in a more realistic way.

We end up with a plan signed off by everyone that cuts down on the time you spend on discovery, ties every recommendation to a real estimate of ROI, removes risk from your migration by giving you clear stop/go criteria, and translates everything we’ve found into a prioritised list of tasks with clear owners, service level agreements, and acceptance tests.

We’re building a 2025-era, cloud-first, microservices MRP for manufacturing that uses AI-driven planning, real-time plant and supplier signals, and continuous replanning.

• BOM Intelligence Engine. We’re implementing an AI-driven BOM service that not only auto-reconciles materials but also suggests solid alternatives and finds the best ways to cut costs using a combination of rules and machine learning. And, of course, there are versioned change logs and approval workflows to make sure everything is tracked.
• Adaptive MRP Engine. We’re building an MRP engine that actually cares about what’s going on in the real world, using IoT to drive inventory levels, automating the replenishment process, and looking at multi-site planning from all the right angles ( including time-phased, lot-sizing, and lead-time offsets).
• What-If Simulations. We’re providing a capacity module that lets you simulate different scenarios, work out where the bottlenecks are, and even run what-if scenarios on a digital twin of your plant. And once you’ve got the results, we expose them via a reliable API.
• Predictive Planning Engine. We’re embedding ML models at the core of demand forecasting, risk assessment, and resource allocation, using data from inside and outside the company. And we’re keeping a close eye on drift, making sure SLAs are met, and integrating with feature stores.
• Scalable Planning Platform. We’re designing the core as a bunch of microservices on AWS or Azure, then adding an event backbone, making sure it scales horizontally, keeping security tight with zero-trust controls and CI/CD pipelines, and of course, having all the right SLOs, dashboards, and incident playbooks in place.

You’ll get your planning cycles down to a fraction of what they used to be, using dynamic, finite-capacity schedules, cutting inventory costs using DDMRP and automated replenishment, and seeing forecast accuracy improve to around 85%. If anything goes wrong on the shop floor, it can be corrected in real time — get visibility across multiple plants that standard packages just can’t match, and make leadership decisions that much faster with a unified analytics layer — roughly twice as fast, in fact.

We’re modernizing legacy MRP into a cloud-based, AI-connected system that preserves essential business rules while learning from live shop-floor and IoT signals and integrating cleanly with engineering change control to operate as the plant’s central nervous system.

• Codebase Dependency Mapping. We use AI to dig out the business logic that’s hidden in the code, then build up a picture of all the different parts that depend on each other, and that lets us create a priority list of which bits to fix first, along with a risk assessment to boot.
• Guided Legacy Refactoring. We use special software agents running in the IDE to take the existing code and convert it into cloud-friendly patterns, where we can point-and-click our way through the refactoring, with automated reviews and updates along the way.
• Regression Safety Net. We generate unit and end-to-end tests from the live system activity, and then compare them to our ‘gold standard’ recordings to make sure we didn’t break anything along the way, with clear targets for what we need to cover.
• Compatibility-Safe Platform Upgrades. We do framework upgrades, making sure they’re compatible with all the existing parts, and if we need to, we add in some extra safety nets to double check we’re not breaking anything. And to be sure, we test it on a small part of the system first, a ‘canary’ release to make sure it all still works.
• Secure & Governed Modernization. As we do the refactoring, we make sure we’re keeping track of all the rules and regulations, enforcing our data security standards, with data hiding, secrets check-up, and full audit trails to keep track of what’s going on.

You get a whole new system that can match how fast you need to go on day one, with a cloud setup that just keeps on updating, and in the end, all your data flows together in one place, not stuck in separate silos. That lets you make faster decisions from a single source of truth, and your code finally keeps up with the best packages available.

We set up a continuous feedback loop so that our demand forecasting and predictive planning can learn from past data, get some extra context from outside sources like how long it takes for suppliers to deliver stuff and weather, and then incorporate real-time info from your manufacturing equipment to build plans that can adjust to supply chain changes or shifts in demand.

• Production-Grade Demand Forecasting. We build our own custom models (things like those temporal fusion transformers and gradient-boosted ensembles) that are tailored to your specific business and seasonality/promotion stuff, we throw in some test data, and we expose an API that lets you get predictions in real-time.
• Real-World Data Integration. We set up systems to bring in data from all sorts of outside sources: market trends, weather forecasts, and even data from your shop-floor equipment, all with some basic guidelines for how it all fits together, and check that nothing is getting held up.
• Supply & Demand Risk Modeling. We make some predictions about where things might go wrong and use what-if scenarios to see how your business would do under different circumstances, like if a supplier is running behind or prices are about to jump.
• Closed-Loop Planning Automation. We use the forecasts to sort out what orders to put in and how to best use your resources, all with built-in checks to make sure nothing goes wrong and the ability to step in and correct things if needed.
• Drift Control. Weautomate retraining your models from time to time, check to see if there’s a problem with them, and give you a look at their performance so you can make informed decisions.

This helps you achieve up to 85% forecast accuracy and maintain optimal stock levels, keeps working capital low, lets your whole team make decisions together, and gets rid of all those pesky spreadsheets locked in silos somewhere

We deliver a transparent, operator-approved production scheduling software for manufacturing that uses a digital twin with hybrid optimization and machine learning.

• Dynamic Algorithms. We’ve put together hybrid solvers that use a bit of machine learning and some mathematical optimisation to generate and continuously tweak finite-capacity plans as demand, resources, and constraints change, and every decision we make is recorded so you can see exactly how we came to our conclusions.
• Live Production Feedback. Weuse machine and line telemetry to trigger updates to your production plan almost in real-time, with a bit of buffering and error-checking to keep things running smoothly and a human in the loop to double-check things.
• Plant Modeling. Webuild detailed models of your plant, and use them to simulate different scenarios, like what happens if a machine breaks down or if something changes in the market — to see what the best course of action might be and to give you a clear idea of the potential risks and rewards.
• Maintenance-Aware Scheduling. Wetake into account predicted failure rates and planned maintenance windows to make sure your schedules are always taking into account the health of your assets and the availability of spares and skilled labour to get the most out of your plant and cut unplanned downtime.
• Cloud-Scale Production Optimization. We deploy large-scale mathematical optimization and machine learning in the cloud to find the perfect balance between cost, throughput, lead time, and environmental impact, and we scale up and down easily without sacrificing any transparency or auditability.

The upshot of using our manufacturing production scheduling software is that you get production plans that update in seconds when something changes. And because we validate everything through your digital twin, you end up with faster production times and better use of your cloud resources.

We connect machines, sensors, and MES/SCADA systems all together into one big data feed that your MRP can actually rely on to make real-time decisions for a second at a time

• Industrial Data Ingestion. We get our edge agents and collectors up and running, establish a solid data schema, and set up a tested pipeline that gets inventory and equipment states flowing into your MRP with a reliable, predictable delay.
• Operational Dashboard. We provide an operator dashboard that includes tools for anomaly detection, root cause analysis, and alerting tied to Service Level Objectives, so teams can actually take action based on what the data is telling them.
• Real-Time Digital Twin Sync. We keep the digital twin of the plant in perfect sync with what’s actually going on on the shop floor, and expose an API for scenario planning that lets planners try out different scenarios in a simulated environment before they actually get put into production.
• Logistics Connectivity. We give you secure APIs and connectors to ERP, suppliers, and logistics, so material movements and shipments can actually update plans all the way through the end-to-end process.
• Secure Data Backbone. We design a cloud-edge system that’s zero-trust, with encrypted data flows, rotated certificates, offline buffering, and over-the-air updates, so data keeps flowing, and stays safe.

With custom MRP systems for manufacturing, you get instant re-planning on machine or quality issues, fewer manual lags and silos, lower downtime and inventory levels, and faster decision-making from unified analytics.

We ensure a seamless transition by integrating your manufacturing ERP software and custom MRP through a cloud-first, hybrid cutover.

• Production-Safe Integration. We take the hassle out of integrating your existing MRP with your ERP and legacy platforms and do it all in a way that doesn’t skip a beat.
• Interoperable Planning APIs. We create a solid API layer that effortlessly ties in SAP and Oracle and MES, with some super-useful low-code extensions that let you set your own pace with versioned contracts and no-nonsense SLAs.
• Phased Data Cutover. We do phased cutovers using dual-write and change-data capture with built-in validation — all so your production team never has to miss a single beat.
• Hybrid Cloud Transition. We help you get set up on AWS or Azure and design secure network paths, then make sure your on-prem and cloud systems stay in perfect sync with continuous data updates.
• Controlled Data Synchronization. We give you a two-way sync with deterministic ordering, and some super-useful governance tooling that lets you enforce environments, approvals, and version control.

All of this adds up to one fantastic benefit: you get to ditch the silos and have just one live data plane — get faster leadership decisions out of a unified analytics layer, and run operations that are more resilient and much more manageable, with plans that always stay in sync with real orders and supplier changes, and quality and traceability that stays linked to production, and a cloud migration that delivers continuous updates and scalable capacity, without the usual big-bang outages.

We secure your MRP environment with a zero-trust, encryption-first architecture that proves compliance with standards like ISO, FDA, and FAA while scaling resilient controls across cloud-based, multi-site, and supplier-integrated manufacturing systems.

• Zero-Trust Industrial Security. Weget micro-segmentation and access control rights, with a system that constantly verifies who is doing what on your network, services, and users, across the board.
• Incident Response. Webring in machine learning detectors that can spot suspicious activity and a ransomware pattern. We make sure that any unusual activity gets contained, audited, and dealt with properly.
• Automated Compliance Evidence. Weturn the principles from NIST CSF, IEC 62443, and ISO 9001 into a set of automated checks that spit out a regular stream of evidence to help you prove your company is on top of things and isn’t falling behind, and runs a regular ESG report.
• End-to-End Data Protection. Weencrypt data as it’s moving around and sitting still with end to end encryption, signed payloads, and a way to track the journey of your data and get the suppliers to keep it that way too by putting in place hardened APIs and so on.
• Resilience Planning. Wekeep a close eye on all the vulnerabilities that could pop up, whether it’s due to a disaster or any other reason, and take a disaster recovery test with targets set for RTO/RPO — all aligned to the operational risks of Industry 4.0

You get the satisfaction of knowing you’re compliant with NIST/IEC 62443/ISO, along with an airtight audit trail, continuous monitoring to keep ahead of any threat,s and the peace of mind knowing you’ve got a recovery plan in place, which means your production stays up and running without the panic when audit comes calling.

After go-live, we run your MRP as a cloud-native, real-time platform with measurable performance goals, disciplined change management, continuous updates, elastic scale, and AI-driven planning tightly integrated with MES, SCADA, and IoT.

• Always-On System Monitoring. We’ve always got an eye on things with telemetry that’s always on, and using AI to predict any problems you might have, fix them without anyone even noticing, and get your team sorted before it starts to cause any real issues.
• Infrastructure Optimization. We set up autoscaling and give your system a bit of a tune-up to ensure that it can handle increasing loads without slowing down, keeping your costs under control at all times.
• Continuous Model Improvement. We keep our AI models sharp on the latest data, only ship new versions when they’re accurate and fast enough, and always check the water before taking the plunge.
• Feature Enhancements. We get new features out there in small, bite-sized chunks that are properly tested and validated on a virtual twin before they go into production.
• User Adoption. We give you training that’s tailored to your role, plant a flag for the champions on the shop floor, and rehearse any disasters you might have, so your team is confident in the system and can bounce back fast.

With a robust MRP system for manufacturing industry, you get measurable stability and a strong return on investment.