- Home
- Industry: Manufacturing & Industrial Services
Building the digital layer for industrial products & processes
Industrial companies need two kinds of software that packaged vendors rarely deliver well. Digital products for physical equipment, and workflow platforms for operations running on legacy tools. We build both.
When your products and processes outgrow packaged tools
Manufacturers and industrial service companies reach a point where the equipment they sell and the operations they run need software and platforms that don’t come from an ERP module or a packaged vendor. That’s where we work.
Machines ship with embedded software, but the data stays on the machine. We build connected equipment platforms that bring telemetry to the cloud and put monitoring, diagnostics, and alerts in front of the people who own the asset.
Years of product launches produce a patchwork of apps, APIs, and backends. We design unified, connected product platforms so that new equipment plugs into an existing foundation rather than starting over.
Equipment interfaces built years ago now sit next to the smartphones operators use every day. We modernize embedded displays and control software so your product’s own screen matches what customers expect.
Installers and technicians rely on paper manuals, phone support, and memory, which produces inconsistent installs and callbacks. We build guided installation and technician apps that walk field teams through the job step by step.
Service teams can’t see equipment state until they’re standing in front of it. We build alerting and diagnostic platforms that surface faults remotely, lowering service costs and shortening downtime.
Service partner networks work from their own spreadsheets and systems. We build channel platforms that give everyone the same equipment data, work orders, and parts information as the OEM.
Operational systems that started as a spreadsheet became business-critical without anyone deciding they should. We modernize them into maintained, integrated platforms that preserve the workflow and eliminate fragility.
Teams spend their day moving data between the ERP and the tools they actually use. We build operational platforms that integrate with enterprise systems and match how plants and warehouses run.
Multi-site operations produce numbers that don’t reconcile because the data comes from different places. We build reporting and decision-support platforms with shared definitions and automated collection across locations.
Dealer relationships run on email threads, PDF price lists, and calls to the regional rep. We build dealer portals that handle ordering, inventory visibility, warranty, and marketing in a single platform.
Commodity purchasing, supplier management, and contract tracking are handled in separate tools, so procurement decisions lag the market. We build procurement platforms that centralize supplier data, pricing, and workflow.
Quality and compliance teams spend their time chasing documentation across sites. We build certification and compliance tracking systems where records are captured at the source and are reportable on demand.
From traditional SDLC to the Continuous Delivery Loop
Manufacturing is becoming a software business
Work with us to turn connected equipment and modernized operations into an advantage competitors can’t match on hardware alone.
AI-native engineering has changed the math on build-versus-buy. Custom software that once required a large capital project can now be built in weeks at a fraction of the cost, enabling industrial companies to rent commodity systems and custom-build the experiences that differentiate their products and brand.
Customers increasingly expect remote visibility, diagnostics, and usage reporting as part of the product. Delivering it requires device-to-cloud platforms, mobile apps, and customer portals, which turn a hardware company into one that also ships software.
The aftermarket is where margin lives, and software determines its cost. Connected diagnostics and installer apps reduce site visits and first-time failures, which improves both the manufacturer’s margin and the customer’s experience.
Industrial processes are specific to the plant, the commodity, and the channel, and packaged software forces them into a generic model. Companies that build platforms around how their operations actually work move faster and report more accurately than those that adapt to the vendor.
We’ve done this before
We’ve worked within heavy equipment, fluid handling, battery, test-and-measurement, food, and agricultural companies.
We are not learning the manufacturing industry from a requirements document.
We’ve modernized mission-critical industrial software while it stayed in use.
We understand what an installer needs at the job site and what a dealer needs at the counter.
Leading industrial brands trust us.
"Coherent Solutions delivered a timely redesign of our app that improved UI/UX and exceeded expectations, prompting us to expand the project scope. Their expertise, attention to detail, and knowledge sharing streamlined our processes and eased internal resource constraints."
Mark A., Application Development Supervisor
Schreiber Foods
Case Studies
Our approach
We started working on two products. The early effort went into the MVP to establish the core architecture of the customer portal, a web application for fleet managers. Our team delivered all scheduled work on time for the release, and the MVP successfully went live.
In parallel, our team carried out the analysis for the installation app, a mobile application for technicians who install batteries and related equipment on trucks and trailers. The goal of this phase was to agree on the scope for the app’s own MVP. It resulted in an approved clickable prototype of the main flow, a solution design, an approved baseline scope document, a test plan and test strategy, an estimation, and a timeline. The app’s MVP reached the App Store and Google Play.
, hide_section_=true, module_id=223641064615}, css={}, child_css={}, id=module_179121423312165, name=module_179121423312165, type=module, order=7, label=Case Study Content Section 2, smart_type=null, styles={}, module_id=223641064615}, module_179121449478468={body={discription=The solution
The customer portal grew over eleven releases, with each stage providing value to fleet managers.
MVP. A landing page with fleet-level widgets for idling hours, fuel savings and CO2 reduction, and an idling dashboard. The data comes from the manufacturer’s data platform, and sign-in is secured through single sign-on.
Fleet health. Battery status per vehicle, filtered by vehicle type and status. Detail pages cover driver response, fuel savings and CO2 reduction, and data can be exported for offline work.
Administration. Tools to manage users, clients and locations, customer configuration, a vehicle history card, and control over which data each user can see.
Alerts and reporting. Immediate actions, notifications and reporting.
The architecture was set in the MVP and will support future battery management capabilities. The same foundation will support future battery management capabilities.
The installation app gives technicians a guided workflow on a phone, and each line below shows what installers can do with it.
Guided installation.A step-by-step flow with scanning, photo confirmation and offline synchronization, available on the App Store and Google Play.
Battery tracking.Records for truck and trailer batteries and installed equipment, plus a battery swap flow that keeps the battery’s history intact.
Web version. Installation management from a browser, with region-specific battery configurations for North America and EMEA, and German localization.
The impact
Our client realized digital value across both products, with these results:
- Increased visibility into fleet battery health and faster identification of battery issues
- Enhanced fleet monitoring and reporting
- Better administrator control over portal configuration
- Improved customer self-service and reduced manual operational effort
- Eliminated manual and paper-based installation processes, improving consistency and data quality
- Increased installation accuracy through automated validation, QR and barcode scanning, and structured data capture
- Improved traceability of batteries, installed equipment, and vehicle assets throughout their lifecycle
- Expanded operational visibility through centralized reporting, installation tracking, and enterprise data management
The portal now scales to enterprise fleets. From the first release, the work carried a clear business impact, and this approach to closing the gap between technology investment and business outcomes is what we call Digital Value Creation.
, hide_section_=true, module_id=223640945533}, css={}, child_css={}, id=module_179121449478468, name=module_179121449478468, type=module, order=9, label=Case Study Content Section 3, smart_type=null, styles={}, module_id=223640945533}, module_179121507763678={body={discription=[11 production releases — since September 2025, 2 products — a customer portal and an installation app, On-time MVP delivery — all scheduled work delivered for the first release], module_id=223640945724}, css={}, child_css={}, id=module_179121507763678, name=module_179121507763678, type=module, order=6, label=case-study-three-column-card, smart_type=null, styles={}, module_id=223640945724}, module_17921485850025={body={module_id=224578905090, quotes_description=, quotes_image={alt=, src=}}, css={}, child_css={}, id=module_17921485850025, name=module_17921485850025, type=module, order=4, label=case-study-full-width-quotes-block, smart_type=null, styles={}, module_id=224578905090}, module_179121390029660={body={discription=The challenge
The manufacturer wanted to give its fleet customers direct access to the data its batteries produce. That meant a secure and scalable portal, built on a foundation that could take new features independently, so that fleet managers could see insights about their own fleets.
The second problem was in the field. Technicians installed batteries and related equipment on trucks and trailers by hand, using paper forms, so installation records were inconsistent and hard to trace.
, hide_section_=true, module_id=223640941568}, css={}, child_css={}, id=module_179121390029660, name=module_179121390029660, type=module, order=5, label=Case Study Content Section 1, smart_type=null, styles={}, module_id=223640941568}, module_17923271166927={body={hide_show_module_=false, module_id=224756528181}, css={}, child_css={}, id=module_17923271166927, name=module_17923271166927, type=module, order=10, label=Case Study Video Banner Block, smart_type=null, styles={}, module_id=224756528181}, module_179120410606221={body={counter=[], logo_image={src=}, module_id=223627951216}, css={}, child_css={}, id=module_179120410606221, name=module_179120410606221, type=module, order=2, label=Case Study Posts Title, smart_type=null, styles={}, module_id=223627951216}, module_179121475366271={body={discription=What’s next
Both products continue to evolve. The customer portal roadmap includes additional analytics, parasitic draw, jumpstart tracking, and custom export. Its architecture is ready for future battery management capabilities.
The current priorities for the installation app include improving data quality through additional information about assets, tighter integration with the manufacturer’s backend systems, and new workflows for flexible battery configurations and equipment swaps. These workflows will support field services and supply chain capabilities.
, hide_section_=true, module_id=223641064784}, css={}, child_css={}, id=module_179121475366271, name=module_179121475366271, type=module, order=11, label=case-study-content-section-4, smart_type=null, styles={}, module_id=223641064784}, module_179015393630755={body={heading_group=More Case Studies
, hide_author_name_=false, module_id=224238135902, select_blog=224579243279, select_tag=manufacturing-industrial-services}, css={}, child_css={}, id=module_179015393630755, name=module_179015393630755, type=module, order=12, label=Related Case Study Posts, smart_type=null, styles={}, module_id=224238135902}, module_179121160763349={body={module_id=223636303144, slider_image=[]}, css={}, child_css={}, id=module_179121160763349, name=module_179121160763349, type=module, order=8, label=fullwidth-image-slider, smart_type=null, styles={}, module_id=223636303144}}Our approach
Rather than translate the code mechanically, the team built a three-stage migration pipeline:
-
Stage 1: An analytics agent read each PL/SQL unit alongside all available sources (business documents, test scenarios, frontend call patterns), extracted the business rules, mapped data types, and identified edge cases, producing a structured migration spec that engineers could review before any code was generated.
-
Stage 2: A transform agent generated idiomatic Python from the approved spec, in a consistent router-service-repository-model layout, along with an equivalence test suite. A validated agent ran the suite, checked for linting and type issues, compared behavior against Oracle, and auto-corrected failures up to three times before escalating to an engineer. The auto-fix loop was intentionally bounded to prevent the system from self-correcting indefinitely without human input.
-
Stage 3: Four AI agents reviewed every unit through specialist lenses: a Solution Architect lens for architecture and decomposition, a Senior Python lens for idiomatic quality, a Senior PL/SQL lens for missed or implicit Oracle behavior, and a QA lens for untested paths. Human engineers resolved all findings.
The pipeline used AI to generate role-tailored handoff bundles — translating technical specs into documents accessible to project managers and domain experts, providing crucial business context.
, hide_section_=true, module_id=223641064615}, css={}, child_css={}, id=module_179121423312165, name=module_179121423312165, type=module, order=7, label=Case Study Content Section 2, smart_type=null, styles={}, module_id=223641064615}, module_179121449478468={body={discription=The solution
A strict definition of “done” governed every unit: a screen counts as complete only when every endpoint is fully native Python (no temporary pass-through wrappers, no stubs) with all business rules ported, equivalence-tested, and passing quality and security gates. Those gates run automatically:
- Decimal arithmetic for every numeric type (prevents floating-point errors in inventory and financial calculations).
- UTC timestamps enforced at all API boundaries (prevents Oracle/Python date-semantic mismatches from surfacing in production).
- OAuth2 scope validation on every endpoint (prevents unauthorized access to migrated APIs).
- Strict type-checking via mypy --strict (catches type errors at commit time, not in production).
- Every query uses safe, parameterized SQL — no injection risk.
On the client’s side, a toggle architecture provided an additional production safety layer: the old Oracle implementation and the new Python implementation can be switched in either direction at any time. If a migrated screen behaves unexpectedly, the team can revert without a deployment event while the issue is resolved.
Human engineers held authority over every decision affecting correctness or architecture. The AI review lenses produced structured findings; engineers resolved them. Ambiguous business logic was never resolved by the model alone: it was flagged, packaged for the appropriate reviewer, and locked only after explicit sign-off.
The impact
For the client, the engagement resolved four problems at once. The manual migration pace (multiple months per screen) is no longer a constraint. AI-generated output with proper context and acceptance criteria reliably reaches senior-level engineering quality, without the variation that comes with individual contributor differences. The fixed-price structure transfers cost risk to Coherent. And when the migration is complete, the client’s dependency on scarce PL/SQL specialists ends: the resulting Python codebase is maintainable, testable, and portable to whatever infrastructure decisions come next.
The shared technical foundation is the primary driver of the economics. Because the shared code is built and counted once rather than duplicated across every screen, the remaining 112 screens are delivered at a fixed price by a team of three engineers over roughly six months — work that would take substantially longer if each screen were rebuilt in isolation.
The remaining 112 screens are sequenced into nine domain waves, grouped by functional area so each wave builds on shared logic and context from the last, reducing risk as the program progresses rather than front-loading it.
Scope became a measured fact rather than an estimate, 93% of API calls traced and classified before migration began. That evidence is what made a fixed-price commitment credible: if the remaining work runs longer than estimated, Coherent absorbs the overrun.
The most demanding single function required 8 hours and 22 minutes of human judgment to produce 31 lines of Python. Review, equivalence validation, and security sign-off accounted for roughly three-quarters of total human effort. Generation is fast and cheap; the value is in the governance that surrounds it.
, hide_section_=true, module_id=223640945533}, css={}, child_css={}, id=module_179121449478468, name=module_179121449478468, type=module, order=9, label=Case Study Content Section 3, smart_type=null, styles={}, module_id=223640945533}, module_179121507763678={body={discription=[112 screens — scoped, sequenced, and committed, ~3,100 — PL/SQL routines migrated with ~1,865 equivalence tests, ~$30K — in AI platform cost], module_id=223640945724}, css={}, child_css={}, id=module_179121507763678, name=module_179121507763678, type=module, order=6, label=case-study-three-column-card, smart_type=null, styles={}, module_id=223640945724}, module_17921485850025={body={module_id=224578905090, quotes_description=, quotes_image={alt=, src=}}, css={}, child_css={}, id=module_17921485850025, name=module_17921485850025, type=module, order=4, label=case-study-full-width-quotes-block, smart_type=null, styles={}, module_id=224578905090}, module_179121390029660={body={discription=The challenge
Legacy system migration is usually framed as a code translation problem, but that's not what it is. With the scale of the client’s system, a manual rewrite was still possible, even if translation moved slowly. The bigger issue was the system’s codebase; it was dense with NLS-dependent formatting and default row limits, the kind of detail that never appears in documentation but always pops up in production.
In this project, migration was a knowledge-extraction problem. Coherent’s engineers needed to recover what the system actually did, and then prove the new code accomplished the same thing, test by test.
What’s next
This engagement is a demonstration of AI-native legacy modernization in practice — a framework for migrating business-critical systems at scale. The pipeline, the agent architecture, and the equivalence-validation harness are not specific to PL/SQL-to-Python; only the translation patterns change with the stack. Coherent is successfully adapting this framework and pipeline to other migration projects, refining and making the process more reliable with each engagement.
This engagement is also a concrete example of Coherent's Digital Value Creation (DVC) and Continuous Delivery Loop (CDL) frameworks in practice, where delivery discipline produces outcomes you can actually measure.
, hide_section_=true, module_id=223641064784}, css={}, child_css={}, id=module_179121475366271, name=module_179121475366271, type=module, order=11, label=case-study-content-section-4, smart_type=null, styles={}, module_id=223641064784}, module_179015393630755={body={heading_group=More Case Studies
, hide_author_name_=false, module_id=224238135902, select_blog=224579243279, select_tag=manufacturing-industrial-services}, css={}, child_css={}, id=module_179015393630755, name=module_179015393630755, type=module, order=12, label=Related Case Study Posts, smart_type=null, styles={}, module_id=224238135902}, module_179121160763349={body={module_id=223636303144, slider_image=[]}, css={}, child_css={}, id=module_179121160763349, name=module_179121160763349, type=module, order=8, label=fullwidth-image-slider, smart_type=null, styles={}, module_id=223636303144}}Results
As a result of the fruitful and collaborative partnership between Coherent Solutions and the client, several significant outcomes were achieved, demonstrating the success and value of the collaboration. Coherent Solutions played a pivotal role in assisting the client’s digital initiatives and driving technology advancements. The key results and accomplishments include:
Development of a Stress Testing Framework: Coherent Solutions successfully developed a robust stress testing framework for the client’s services. This framework enabled the client to assess the performance and reliability of their applications under various load and stress conditions. By identifying potential bottlenecks and areas for optimization, the stress testing framework enhanced the overall quality and stability of the client’s software platform.
Integration of Usability Studies: Coherent Solutions collaborated with the client to integrate usability studies into their product. This involved conducting user research, gathering feedback, and applying best practices in user experience design. By prioritizing usability, the client was able to create intuitive and user-friendly software, resulting in enhanced customer satisfaction and improved adoption rates.
Implementation of In-Sprint Test Automation: Coherent Solutions successfully implemented in-sprint test automation for the client’s development process. By leveraging automated testing frameworks and tools, the client achieved faster and more efficient software testing, reducing manual effort and accelerating time-to-market. This automation approach ensured high product quality while optimizing resource utilization and enabling faster iterations.
Rewrite of Two Mobile Applications: Coherent Solutions undertook the task of rewriting two critical mobile applications for the client. By addressing architectural issues, improving performance, and enhancing functionality, the rewritten applications provided a superior user experience and better aligned with the client’s evolving business needs. This initiative resulted in increased customer satisfaction, improved app ratings, and a competitive edge in the market.
The combined impact of these results was far-reaching, positively influencing the client’s quality engineering department and overall operations. Coherent Solutions’ contributions not only enabled the successful transition of the client from a product company to a software platform provider but also laid a solid foundation for future growth and innovation. By addressing key challenges and leveraging technological advancements, Coherent Solutions helped the client optimize their software platform, improve customer experiences, and drive business success in the dynamic and competitive marketplace.
, hide_section_=true, module_id=223641064615}, css={}, child_css={}, id=module_179121423312165, name=module_179121423312165, type=module, order=7, label=Case Study Content Section 2, smart_type=null, styles={}, module_id=223641064615}, module_179121449478468={body={discription=, hide_section_=false, module_id=223640945533}, css={}, child_css={}, id=module_179121449478468, name=module_179121449478468, type=module, order=9, label=Case Study Content Section 3, smart_type=null, styles={}, module_id=223640945533}, module_179121507763678={body={discription=[Fully managed QA services, Flexible QA capacity on demand, Reliable release results], module_id=223640945724}, css={}, child_css={}, id=module_179121507763678, name=module_179121507763678, type=module, order=6, label=case-study-three-column-card, smart_type=null, styles={}, module_id=223640945724}, module_17921485850025={body={module_id=224578905090, quotes_description=, quotes_image={alt=, src=}}, css={}, child_css={}, id=module_17921485850025, name=module_17921485850025, type=module, order=4, label=case-study-full-width-quotes-block, smart_type=null, styles={}, module_id=224578905090}, module_179121390029660={body={discription=Solution
To meet the client’s needs and facilitate their transition to a software platform provider, Coherent Solutions devised a comprehensive solution encompassing various elements to ensure a successful partnership and support the client’s growth objectives.
Understanding the Client’s Needs and Culture: Coherent Solutions conducted a thorough analysis of the client’s requirements, organizational culture, and long-term goals. This understanding allowed us to determine the most suitable staffing model and ensure alignment throughout the collaboration.
Scalable Resource Model: Recognizing the client’s need for rapid growth, resource stability, and optimized utilization, Coherent Solutions implemented a scalable resource model. This approach allowed us to quickly ramp up the Coherent team while maintaining a low attrition rate, ensuring a consistent and reliable talent pool throughout the project’s lifecycle.
Onsite Team Manager: Coherent Solutions strategically added an onsite Team Manager, leveraging their expertise to enhance coordination and communication between different teams and stakeholders. This on-site presence helped streamline processes, resolve any issues promptly, and ensure efficient project management.
Client-Focused Onboarding and Training Program: Understanding the importance of seamless integration and knowledge transfer, Coherent Solutions established a client-focused onboarding and training program. This initiative ensured that the client’s team members were well-equipped with the necessary skills and expertise to maximize the collaboration’s effectiveness.
Onsite Scrum Master/Consultant: To enhance coordination and manage all Coherent Solutions teams effectively, an onsite Scrum Master/Consultant was assigned. This expert played a pivotal role in facilitating agile methodologies, overseeing project timelines, and optimizing team performance, resulting in increased efficiency and streamlined project execution.

More Case Studies
, hide_author_name_=false, module_id=224238135902, select_blog=224579243279, select_tag=manufacturing-industrial-services}, css={}, child_css={}, id=module_179015393630755, name=module_179015393630755, type=module, order=12, label=Related Case Study Posts, smart_type=null, styles={}, module_id=224238135902}, module_179121160763349={body={module_id=223636303144, slider_image=[]}, css={}, child_css={}, id=module_179121160763349, name=module_179121160763349, type=module, order=8, label=fullwidth-image-slider, smart_type=null, styles={}, module_id=223636303144}}Ready to build something people use every day?
Whether you want to launch a new product, scale an existing platform, or recover legacy technical debt, let’s talk about what’s actually blocking you.
Relevant
Questions
Custom operational platforms and connected product software that once required a multi-year capital project can now be built in a fraction of the time and cost. That shifts the question from “can we afford to build” to “what should we build versus rent.”
Connected products generate revenue and build customer relationships; operational platforms reduce costs and risk. The right starting point is usually whichever has a clear owner, a measurable pain, and a first project small enough to prove the approach within a quarter.
Dealers adopt tools that save them time on ordering, warranty, and inventory lookups, and ignore ones that mainly serve the manufacturer’s reporting needs. The portal has to be faster than the phone call it replaces.
Device identity and authentication, encrypted telemetry, controlled firmware updates, and segregation between operational and IT networks. For equipment in regulated environments, audit trails for who changed what on the device matter as much as the data itself.
Rebuild the interface software on a modern framework that runs on the existing controller, add over-the-air update capability, and design the workflow around the technician at the machine. Hardware changes come later, if at all, once the software has proven what the interface needs.
Define a shared device platform with a common identity, data models, and APIs, then migrate product lines to it one at a time while their existing apps remain live. The goal is for the next equipment launch to plug into the foundation rather than build another silo.