For manufacturers struggling with real management gaps across production, quality, warehousing and cross-team coordination, we shipped an end-to-end digital factory covering production planning → quality traceability → smart warehousing → cross-team coordination → data-driven decisions. MES + WMS + IoT + AI early warning — data stops being a logbook and starts driving live decisions.
The client is a manufacturer in the middle of a digital upgrade. Order volume, SKU breadth and delivery requirements were all climbing — and the legacy management model was buckling under the load.
Production plans, purchase orders and stock levels are each owned by a different team. None of it updates in real time.
Traditional factories lack end-to-end traceability. Root-cause analysis is fully manual.
Scrambled bin locations, inaccurate counts, slow inbound/outbound, manual stocktakes that take days.
Without a real-time data platform, key metrics can't be rolled up live and production strategy can't adjust in time.
After multiple rounds of interviews with leadership, production, warehousing and quality, we redrew the business and data flows from scratch — then chose an integrated digital-factory architecture.
A digital factory isn't a software rollout.
It's a re-architecture of the production coordination system.
Across production, quality, warehousing and coordination, we shipped 4 capability modules. Each one has a corresponding system UI and a measurable result.
Production progress, equipment OEE, order delivery, incident alerts — metrics scattered across 4 teams, rolled up into a single live cockpit.
From IoT and AGV sensing at the base to the BI cockpit on top, the system stacks Application / Business / Data / Perception layers bottom-up. Data flows up, commands flow down — in lockstep.
After launch, the client levelled up across all four lines — production, quality, warehousing and data — at the same time.
Digital factory + IoT + AI analytics isn't locked to a single manufacturing vertical. We've shipped reusable templates across several industries.
Related cases
Other projects delivered by Wavesteam — AI, IoT, platform builds and enterprise software.
An occupational health monitoring system with early-warning analytics and control-room dashboards for industrial safety teams.
View case
An IoT and BMS-driven battery swap network that keeps agricultural drone fleets flying with minimal pilot intervention.
View case
A real-time AI conversation system for learners of Mandarin Chinese — combines LLM dialogue, smart content generation and edge inference hardware.
View caseThese projects usually involve business systems, device integration, AI workflows or multi-role back-offices. We assess feasibility against real delivery constraints and give recommendations close to the implementation stage.
