전통적인 소매 브랜드가 데이터와 자동화를 통해 운영을 혁신한 방법

Source: Dev.to

When I first met the operations team at a mid‑sized retail brand in Mumbai, they were struggling with one simple problem:

• 17 different Excel files
• Manual stock entries
• Delayed sales reports
• Zero real‑time visibility

Management was frustrated. The company wanted to grow, but their processes were slowing them down. That’s where Wisecor Transformation stepped in.

Phase 1 — Understanding the chaos

Instead of throwing technology at the problem, we spent the first week observing how the team actually worked.
Wisecor Transformations

Phase 2 — Data sanitization & centralized dashboard

We cleaned, merged, and standardized all their data sources. Suddenly, management could see on a single screen:

• Top‑selling products
• Low‑stock alerts
• High‑exit inventory
• Daily sales comparisons
• Store‑wise performance

Phase 3 — Predictive insights

Using machine learning, we predicted:

• When specific items would run out
• Which categories would grow
• Seasonal demand spikes

The team no longer guessed—they planned.

The impact in 90 days

• 34% faster inventory decisions
• 21% cost reduction in over‑stocking
• 100% elimination of manual reporting
• Management saved 22 hours per week

The best part?

This is the kind of transformation Wisecor loves — taking something messy, unstructured, and slow… and turning it into a simple, automated, data‑driven system.