Bodhee
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Pick your scheduler.

Three Bodhee modules, one live schedule. Each has its own playbook, reference deployments, and ROI math.

The library

11 resources for you.

Filter by content type or industry. Everything is written by engineers and customer-success leads who ship into real plants.

Industry
3:00
Video·Process

Bodhee Production Scheduler

Bodhee Production Scheduler generates feasible, executable schedules from your master data, ERP feeds, and shop-floor constraints — and reschedules in real time as conditions change.

Product Tour3:00
Editorial illustration of three parallel rows of schedule blocks with a red conflict marker
Blog·Process

The silo tax — a manufacturing-economics argument for cross-functional scheduling

Production plans the line. QC plans the lab. Maintenance plans the equipment. Each plan is rational. The collision between them costs capacity that nobody invoices, nobody books, and nobody owns. That cost has a name.

Nataraj SOORKOD8 min read
2:19
Video·Process

Neewee's Value-Based Collaborative Company Culture

Co-founder and CEO Harsimrat Bhasin walks through the three values that define how Neewee works — empathy for the customer, the best-idea-wins ethos, and full transparency.

Event2:19
1:23
Video·Process

Neewee's Tree of Wisdom

A short film about the Tree of Wisdom — a symbol Neewee built to honour the alumni and current 'NeeBees' who shaped the company's growth journey.

Event1:23
2:04
Video·Process

Neewee Culture

A short look inside Neewee — the people, the values, and the way we work to ship Adaptive Scheduling solutions for manufacturing on time, every time.

Event2:04
4:02
Video·Process

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.

Explainer4:02
Master data drift — the quiet killer of every scheduling rollout
Blog·Process

Master data drift — the quiet killer of every scheduling rollout

The day you go live is the day your scheduling model starts decaying. Routings move, BOMs change, equipment swaps in. Nobody tells the planner. Six months later the schedule looks fine and runs nothing like the plant.

Nataraj SOORKOD7 min read
The 30% Problem
Blog·Process

The 30% Problem

Cleaning, changeover, validation, and QC hold consume roughly a third of staffed time. Most schedulers treat them as fixed buffers — or don't model them at all. Here's what it costs.

Nataraj SOORKOD6 min read
Stylized illustration: a production schedule splintering into fragments by mid-morning, representing how a static daily plan loses fidelity within hours of execution
Blog·Process

Your schedule is already wrong by 9 a.m.

A static production schedule stops being a plan the moment reality starts moving. Two hours in, you're inside the variance the plan didn't allow for. The fix isn't a faster rebuild — it's a different architecture.

Nataraj SOORKOD6 min read
Demand-vs-capacity chart in a Bodhee dashboard frame: a demand curve rising into a Week 5 peak that crosses the rated-capacity line, with a 'Demand > Capacity' marker and a replanned schedule strip below.
Blog·Process

Handling demand spikes: dynamic scheduling for seasonal production swings

Seasonal demand isn't a forecasting problem. It's a feasibility problem. The campaign mix you can run in November is not the campaign mix you can run in March, and the schedule has to know that.

Nataraj SOORKOD6 min read
8–12
Case study·Process

Productivity recovered across multiple APUs at a large-scale European API plant

How a leading European Active Pharmaceutical Ingredient provider replaced annual sales-projection plans with event-driven, AI-generated schedules across its autonomous production units — measurable productivity gains within 8–12 weeks of go-live.

a leading European Active Pharmaceutical Ingredient provider operating a large-scale, multi-APU commercial siteCase study