Crystal Cosmetics
Crystal Cosmetics
Crystal Cosmetics
Crystal Cosmetics tightened shop-floor control with a centralised workflow

Crystal Cosmetics tightened shop-floor control with a centralised workflow

Crystal Cosmetics tightened shop-floor control with a centralised workflow

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

6 hrs→25 mins

Faster PO approval to release cycle for packaging work

6 hrs→25 mins

Faster PO approval to release cycle for packaging work

+14 pts

Increase in on-time dispatch performance across store and production

+14 pts

Increase in on-time dispatch performance across store and production

59 mins→16 mins

Faster daily MIS and stock reporting with fewer last-minute follow-ups

59 mins→16 mins

Faster daily MIS and stock reporting with fewer last-minute follow-ups

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How Crystal Cosmetics operates

How Crystal Cosmetics operates

Crystal Cosmetics is a micro packaging manufacturing unit based in North West Delhi. 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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Packaging

Industry

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Packaging

Industry

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Micro

Company Size

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Micro

Company Size

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North West Delhi, India

Location

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North West Delhi, India

Location

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Material planning for films, inks & adhesives

Use Cases

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Material planning for films, inks & adhesives

Use Cases

Challenges

Shortage was detected only when the supervisor walked the floor, not when planning was done.

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

Receivable status changed daily because part-payments were not tagged to specific invoices.

Controlling rework through traceability and holds

Controlling rework through traceability and holds

Controlling rework through traceability and holds

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. Over time, the team built confidence because the numbers matched what they saw on the floor. 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. Over time, the team built confidence because the numbers matched what they saw on the floor. The practical outcome was fewer escalations, faster decisions, and dates that changed less often.

Reducing month-end surprises with traceable transactions

Reducing month-end surprises with traceable transactions

Reducing month-end surprises with traceable transactions

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. Over time, the team built confidence because the numbers matched what they saw on the floor. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

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. Over time, the team built confidence because the numbers matched what they saw on the floor. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

Dispatch readiness built into the daily routine

Dispatch readiness built into the daily routine

Dispatch readiness built into the daily routine

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 structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. 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 fewer escalations, faster decisions, and dates that changed less often.

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 structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. 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 fewer escalations, faster decisions, and dates that changed less often.

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Built by IIT & IIM founders

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AI-Run Factory

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Built by IIT & IIM founders