Meet Bodhee — Integrated, Simple, Shop-Floor-Delivered Scheduling Solutions
An overview of Bodhee — a Manufacturing Scheduling solution powered by a Process Digital Twin that pulls data from ERP, MES, SCADA, and OT systems to deliver shop-floor-ready actions across yield, quality, productivity, and cycle time.
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About this video
Meet Bodhee. The video opens with a familiar problem in manufacturing: digitalisation has produced ERP, MES, SCADA, and predictive-maintenance systems, but the decision layer above them remains scattered across silos, complex to consume, and rarely sourced from the full IT/OT footprint.
Bodhee replaces that pattern with a Process Digital Twin. It pulls data from ERP, MES, SCADA, OT systems, and (paired with Rishi, the IoT layer) directly from machines. It models the manufacturing value chain as a network of interdependent processes — product, process, asset, external influencers, and work centre — and mathematically correlates the effects each has on the final product.
What differentiates Bodhee is what it does with that model: it doesn't stop at prediction. It communicates back to the relevant process at the right stage with corrective or preventative actions delivered as simple, shop-floor-ready instructions. With a six-to-eight-week deployment, Bodhee improves yield, quality, and productivity, and reduces process variation and cycle time — without months of integration work.
Read transcript
Meet analytics you may remember him as the genius behind your predictive maintenance systems or your streamlined supply chain but have you met analytics the pioneer of industry 4.0 probably not that's because digitalization of manufacturing still hasn't addressed three key issues first while businesses have succeeded in utilizing technology like erp to smoothen operations as a whole analytics is still leveraged in silos second the insights derived from analytics are often complex as opposed to actionable insights that can be readily used on the shop floor third analytical data is not sourced from all information technology and operational technology systems and without manual intervention this leads to temporary and scattered benefits instead of long-term transformation of manufacturing productivity so the question is how do you integrate industrialize and simplify analytics to predict and overcome challenges in a faster more efficient and holistic manner simple you use bodhi bodhi combines the power of ai and the internet of things to transform analytics into a digital twin of your manufacturing value chain analyzing the value chain as a set of interdependent processes and sub-processes bothie provides insights that streamline the process life cycle in a way that improves the final outcome now we know what you're thinking how is this different from any other digital or analytical solution the answer lies in our process digital twin to begin with bothy functions as an extension of the existing assets tapping into both information and operational technology and leveraging data from erp mes scada and other standard systems together with our hardware product rishi bodhi acts as a digital productivity layer creating a connected and end-to-end network of industrialized data amplifying the value of the data source next bodhi divides influencing parameters into five distinct classes product process asset external influencers and workcenter wherever available the data from these five classes is used to develop a process digital twin with the capability to streamline processes thus providing you with an integrated analytic solution that breaks through silos once developed the process digital twin mirrors your manufacturing setup flow and value chain and mathematically correlates the effect processes have on each other and ultimately the final product what differentiates bodhi's process digital twin from other analytic solutions is that it doesn't stop at predicting potential problems the process digital twins mechanism enables it to communicate with different processes at different stages and provide corrective or preventative measures as well importantly the measures delivered by bodhi are meant to have an immediate impact and therefore appear in the form of simple actionable insights that can be easily consumed and instantly implemented on the shop floor furthermore bothy's self-learning abilities and manufacturing specific algorithms translate into an analytic solution that delivers significantly improved kpis and a higher roi with a deployment period of just six to eight weeks add to that bothy offers multiple use cases effectively optimizing yield improving quality enhancing productivity reduction in process variation reducing of cycle times and increasing profits meet integrated industrialized and shop floor level analytics meet bodhi you.
