Manufacturing and logistics

Manufacturing and logistics are living through one of the more consequential technology shifts in the sector history. Connected equipment, real time supply chain visibility and predictive maintenance are moving from pilot programmes at large enterprises to standard practice at midsize operators. The gap between companies that have made that shift and those that have not keeps widening, and it shows up directly in operating cost and resilience during disruption.

We work across discrete and process manufacturing, third party logistics, freight and warehousing, on both the shop floor and the systems above it. ERP, warehouse management, transportation management and the data layer that is supposed to connect all three but frequently does not.

Most engagements in this sector start with a visibility problem rather than an automation problem. Before recommending a robotics investment or a new ERP module, we usually need to establish whether the organization can even see its own inventory, capacity and shipment status in real time, because that gap is often the more expensive one to leave unsolved.

Where we help

• ERP system development, deployment and integration, including SAP and Oracle E Business Suite environments
• Warehouse and transportation management system implementation and integration
• Inventory and asset tracking, including RFID and barcode based systems tied into a live stock position
• Predictive maintenance and remote asset monitoring using equipment telemetry
• IoT and smart factory integration, connecting shop floor equipment into a usable data layer
• Manufacturing execution system implementation, bridging ERP and plant floor systems
• Business intelligence and reporting for production, logistics and quality metrics
• Supply chain and freight visibility platforms, including carrier and EDI integration

The regulatory and compliance landscape

Regulatory obligations in this sector vary widely by product and process. OSHA workplace safety recordkeeping, FDA regulations for food and pharmaceutical manufacturers, and DOT and FMCSA rules for freight and logistics operators all shape how a given system needs to log, retain and report data. We scope which of these apply during the discovery phase of any engagement rather than assuming a generic manufacturing baseline.

For manufacturers and logistics providers serving government or defense customers, we design with CMMC and NIST 800 171 control expectations in mind where a client contracts require it, since a failed security assessment can affect eligibility for the underlying contract itself.

Trade compliance, export controls and country of origin documentation increasingly show up as system requirements rather than back office paperwork, particularly for manufacturers running multiple country supply chains, and we build that traceability into data models from the outset where relevant.

Where AI and automation are changing the work

Predictive maintenance is the most mature AI application in this sector. Models trained on equipment telemetry that flag a likely failure before it happens, turning unplanned downtime into a scheduled maintenance window. The organizations getting value from this have usually solved the unglamorous problem of getting clean sensor data flowing first, which is where a meaningful share of the engineering effort actually goes.

Demand forecasting and inventory optimization are increasingly AI assisted, blending historical sales data with external signals to reduce both stockouts and excess inventory. These models earn trust incrementally. Most operations teams want a human planner reviewing and adjusting recommendations before they are willing to let a system order automatically.

On the shop floor, computer vision for quality inspection is moving from novelty to standard tooling on production lines with high enough volume to justify the setup cost, typically supplementing rather than replacing human inspectors for the foreseeable future.

Platforms and technology

We work across the ERP, manufacturing execution and supply chain platforms manufacturers and logistics operators run today.

• SAP S4HANA and ECC
• Oracle E Business Suite and Fusion
• Microsoft Dynamics 365
• AWS IoT and Azure IoT
• Manhattan and Blue Yonder
• EDI and carrier integration platforms
• ServiceNow

Our team covers ServiceNow Field Service Management for dispatch and mobile work order workflows, and ITSM for plant and supply-chain IT operations where the same incident discipline that applies in corporate IT needs to reach the floor. ServiceNow practice →

How we approach engagements in this space

We build consolidation layers and reporting on top of existing systems wherever they are fundamentally sound, rather than defaulting to a full rebuild of software that already does its core job, because a warehouse or plant cannot usually afford the operational risk of a full system cutover.

When additional engineering capacity is needed, we prioritize people who understand both the IT side and the operational reality of a plant floor or distribution centre, since a purely software background engineer without that context tends to design systems that look correct on a whiteboard and fail against how the floor actually operates.

We serve commercial, industrial and logistics operators of every size, and we scale the engagement shape to match, from a single embedded integration specialist for a smaller operator to a full delivery team for an enterprise wide ERP rollout.