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Build vs Buy — Consumer Packaged Goods

Weigh SaaS subscriptions against a custom build for Consumer Packaged Goods — see the multi-year total cost of ownership and which path wins.

What this means for Consumer Packaged Goods

  • Trade promotion eats 15-25% of gross sales and the lift analysis says half of it loses money — but the planning team keeps approving the same activity because Walmart said no to the cut.
  • Retail execution at store level is a black box — out-of-stocks, share of shelf, and planogram compliance are reported by a field team that visits 8% of stores monthly.
  • Demand forecasting accuracy at the SKU-DC level is in the 60s — production whiplash, stranded inventory, and emergency airfreight are baked into the cost structure.

Where it pays to act

  • Trade promotion optimization — model lift, cannibalization, and ROI by event using POS and shipment data so the next planning cycle stops repeating losing promotions.
  • Demand forecasting at the SKU-DC level using POS, weather, promotion, and event data — and the S&OP discipline to actually act on the forecast.

Adjust the inputs to match your Consumer Packaged Goods context.

₹2,000
25
10%
₹15 L
15%
3 yr

Total cost of ownership

SaaS total (3yr)

₹19.9 L

Custom build total

₹21.8 L

Difference (cheaper to buy)

₹1.89 L

Breakeven

What this means

A hybrid path fits best.

For Consumer Packaged Goods, the gap is ₹1.89 L over 3 years — close enough that a hybrid approach (buy core, build differentiating layers) often wins.

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Build vs buy — summary

SaaS total (3yr)₹19.9 L
Custom build total₹21.8 L
Difference₹1.89 L cheaper to buy
Breakeven

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