Hridhaan crop sciences
Hridhaan crop sciences
Hridhaan crop sciences
Hridhaan crop sciences improved delivery predictability with structured execution

Hridhaan crop sciences improved delivery predictability with structured execution

Hridhaan crop sciences improved delivery predictability with structured execution

A practical shift from WhatsApp/Excel coordination to trackable daily execution.

39%

Reduction in daily coordination time for electrical work

39%

Reduction in daily coordination time for electrical work

14%

Reduction in excess inventory across store and production

14%

Reduction in excess inventory across store and production

8→3 days

Improvement in order-to-dispatch lead time with fewer last-minute follow-ups

8→3 days

Improvement in order-to-dispatch lead time with fewer last-minute follow-ups

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Inside Hridhaan crop sciences

Inside Hridhaan crop sciences

Hridhaan crop sciences is a medium electrical manufacturing unit based in Bangalore. Their day-to-day work involves coordinating orders, material availability, production execution and dispatch commitments. Earlier, updates were shared through a mix of Excel sheets, calls and WhatsApp, which made it hard to keep everyone aligned. By moving to a centralised workflow, the team standardised handovers, reduced rework in reporting, and improved execution predictability.

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Electrical

Industry

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Electrical

Industry

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Medium

Company Size

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Medium

Company Size

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Bangalore, India

Location

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Bangalore, India

Location

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BOM-based production for panels/wiring kits

Use Cases

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BOM-based production for panels/wiring kits

Use Cases

Challenges

Dispatch dates slipped because packing list, invoice and transporter booking were not in sync.

Store stock looked fine on paper but production bins were empty when job cards started.

Teams worked off screenshots and old sheets; daily numbers drifted from what the shop floor saw.

After: Predictable execution, fewer escalations

After: Predictable execution, fewer escalations

After: Predictable execution, fewer escalations

Earlier, dispatch readiness depended on people coordinating invoice, packing and transporter on calls. This broke down when transporter slots moved; finished goods were ready but paperwork and packing lagged behind. We implemented structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. Dispatch checklists were run a day ahead so invoicing, packing and transporter booking stayed aligned. It also made owner reviews easier because key exceptions were visible without chasing the team. The practical outcome was smoother handovers between departments and more predictable daily execution.

Earlier, dispatch readiness depended on people coordinating invoice, packing and transporter on calls. This broke down when transporter slots moved; finished goods were ready but paperwork and packing lagged behind. We implemented structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. Dispatch checklists were run a day ahead so invoicing, packing and transporter booking stayed aligned. It also made owner reviews easier because key exceptions were visible without chasing the team. The practical outcome was smoother handovers between departments and more predictable daily execution.

Stabilising planning with live WIP and material signals

Stabilising planning with live WIP and material signals

Stabilising planning with live WIP and material signals

Earlier, store stock, WIP and finished goods were tracked in separate sheets and message threads. This broke down whenever priorities changed—material looked available, but the line stalled due to bin-level shortages. We implemented a centralised workflow where each order, material requirement and update had a clear owner and timestamp. Supervisors started reviewing shortages at shift start and raised purchase/transfer requests before the line was blocked. For electrical operations in Bangalore, this reduced dependence on a single person for updates. The practical outcome was fewer escalations, faster decisions, and dates that changed less often.

Earlier, store stock, WIP and finished goods were tracked in separate sheets and message threads. This broke down whenever priorities changed—material looked available, but the line stalled due to bin-level shortages. We implemented a centralised workflow where each order, material requirement and update had a clear owner and timestamp. Supervisors started reviewing shortages at shift start and raised purchase/transfer requests before the line was blocked. For electrical operations in Bangalore, this reduced dependence on a single person for updates. The practical outcome was fewer escalations, faster decisions, and dates that changed less often.

Cleaning masters to make reports match reality

Cleaning masters to make reports match reality

Cleaning masters to make reports match reality

Earlier, masters and transactions were split across Excel, accounting exports and WhatsApp updates. This broke down at month-end; teams rebuilt the same report multiple times and still debated the numbers. We implemented a centralised workflow where each order, material requirement and update had a clear owner and timestamp. Masters were cleaned once, and daily reporting pulled from the same transactions instead of manual consolidation. It also made owner reviews easier because key exceptions were visible without chasing the team. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

Earlier, masters and transactions were split across Excel, accounting exports and WhatsApp updates. This broke down at month-end; teams rebuilt the same report multiple times and still debated the numbers. We implemented a centralised workflow where each order, material requirement and update had a clear owner and timestamp. Masters were cleaned once, and daily reporting pulled from the same transactions instead of manual consolidation. It also made owner reviews easier because key exceptions were visible without chasing the team. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

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