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I will build a workforce capacity model and analysis with executive PPT deck
About this Gig
Not sure if your current headcount can absorb a new territory, channel merger, or coverage model?
I specialize in field force capacity feasibility analysis for FMCG companies & distributors teams across Malaysia and Southeast Asia.
WHAT YOU GET
- Capacity utilization model by zone and region Feasibility verdict YES, TIGHT, or NO
- Gap analysis showing whether your team are over or under capacity with recommendations
- Executive PowerPoint deck (9 slides, board-ready)
WHO THIS IS FOR
- NSMs planning a team restructure
- Distributors absorbing a new chain or territory Companies
- Merging multiple channel of field force teams.
- Anyone asking "can our team absorb more without adding headcount?"
HOW IT WORKS
- Fill in my Excel template (shared after order)
- I analyze workload vs. capacity by zone
- You receive your model + PowerPoint on time
I have hands-on FMCG field force experience outlet coverage, field force frequency model, zone re-balancing. I understand what the numbers mean for your operation.
Message me before ordering if your setup is complex.
Follow us on LinkedIn: Tradeflow Analytics for weekly insights on FMCG field operations and workforce analytics.
Business type:
Corporates
•
SMBs
Industry:
Business services & consulting
•
Food & beverage
•
Other
My Portfolio
FAQ
Q: What data do I need to provide?
A: Two things — (1) your outlet list with visit frequency and time per visit by zone, and (2) your headcount count per zone. I'll share a simple Excel template right after you order.
Q: Do you work with companies outside Malaysia?
A: Yes. The methodology works for any FMCG or retail coverage operation in SEA — Malaysia, Singapore, Indonesia, Thailand, Philippines.
Q: Can you analyse a partial merger (e.g. only combining 2 out of 5 regions)?
A: Absolutely. Just tell me the scope in your brief and I'll limit the analysis accordingly.
Q: What if I don't have structured data — just rough numbers?
A: Message me before ordering. We can discuss whether the data is workable or needs clean-up first.
