Seismosys Technologies Pvt Ltd
Seismosys Technologies Pvt Ltd
Seismosys Technologies Pvt Ltd
Seismosys Technologies Pvt Ltd tightened shop-floor control with a centralised workflow

Seismosys Technologies Pvt Ltd tightened shop-floor control with a centralised workflow

Seismosys Technologies Pvt Ltd tightened shop-floor control with a centralised workflow

Bringing purchase, production and dispatch on one timeline—without adding complexity.

25%

Reduction in daily coordination time for electrical work

25%

Reduction in daily coordination time for electrical work

16%

Reduction in excess inventory across store and production

16%

Reduction in excess inventory across store and production

4→1 days

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

4→1 days

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

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Seismosys Technologies Pvt Ltd at a glance

Seismosys Technologies Pvt Ltd at a glance

Seismosys Technologies Pvt Ltd is a micro 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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Micro

Company Size

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Micro

Company Size

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Bangalore, India

Location

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Bangalore, India

Location

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Sales enquiry to dispatch workflow with approvals

Use Cases

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Sales enquiry to dispatch workflow with approvals

Use Cases

Challenges

Payment follow-ups depended on WhatsApp threads; disputes re-opened invoices at month-end.

Transporter availability was confirmed late, so finished goods piled up near the gate.

No single schedule linked orders, material availability and machine loading.

Cleaning masters to make reports match reality

Cleaning masters to make reports match reality

Cleaning masters to make reports match reality

Earlier, collections follow-ups were scattered and disputes reopened older invoices. This broke down on part-payments; the receivable view changed daily and escalations increased. We implemented a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Collections follow-ups moved to a single list with dispute tagging so teams stopped chasing the wrong invoices. 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, collections follow-ups were scattered and disputes reopened older invoices. This broke down on part-payments; the receivable view changed daily and escalations increased. We implemented a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Collections follow-ups moved to a single list with dispute tagging so teams stopped chasing the wrong invoices. 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.

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, 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 a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Dispatch checklists were run a day ahead so invoicing, packing and transporter booking stayed aligned. For electrical operations in Bangalore, this reduced dependence on a single person for updates. 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 a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Dispatch checklists were run a day ahead so invoicing, packing and transporter booking stayed aligned. For electrical operations in Bangalore, this reduced dependence on a single person for updates. The practical outcome was smoother handovers between departments and more predictable daily execution.

Dispatch readiness built into the daily routine

Dispatch readiness built into the daily routine

Dispatch readiness built into the daily routine

Earlier, the daily plan was decided in fragments—by urgency, not by capacity and material signals. This broke down as soon as urgent orders came in; jobs were half-started and WIP piled up across stages. We implemented a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Planning moved to a simple daily schedule linked to orders, capacity and material, reducing last-minute reshuffles. 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, the daily plan was decided in fragments—by urgency, not by capacity and material signals. This broke down as soon as urgent orders came in; jobs were half-started and WIP piled up across stages. We implemented a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Planning moved to a simple daily schedule linked to orders, capacity and material, reducing last-minute reshuffles. 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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