battles / Shipping

Bigblue vs Sifted

Bigblue ($600/mo/mo, vibe code 3/10) vs Sifted ($1,500/mo/mo, vibe code 4/10). Sifted is the easier one to rebuild yourself — here is what you lose either way.

Shipping

$600/mo/mo

Vibe code3/10
Moat7/10
MVP
1 week
Full replacement
Impossible without physical warehouses and carrier contracts
get the build prompt
KEEP

Shipping

$1,500/mo/mo

Vibe code4/10
Moat6/10
MVP
2 weeks
Full replacement
12-18 months, due to carrier API instability, EDI 210 parser edge cases, claim filing automation, and lack of cross-merchant rate benchmark data

easier to rebuild

get the build prompt

price gap / year

$10,800/mo

running both / year

$25,200/mo

our call

Start with Sifted — highest vibe code, weakest moat.

Bigblue

Bigblue is a physical 3PL logistics provider wrapped in modern e-commerce software. While an AI agent can recreate their branded tracking UI in a day, code cannot pack physical boxes, run warehouses in Paris, or negotiate carrier rates with DHL and Colissimo.

you can rebuild

  • Branded post-purchase tracking pages with custom HTML components
  • Transactional shipping update notifications over email and SMS
  • Simple customer-facing self-service return request workflow
  • Multi-channel inventory sync and safety stock buffer rules
  • Carrier shipping delay and delivery SLA analytics dashboard

what you lose

  • Access to Bigblue's network of physical EU fulfillment centers
  • Bulk discounted shipping rates across European carriers like DPD, DHL, and Colissimo
  • Physical warehouse picking, packing, and unboxing labor
  • Physical returns inspection and restock processing
  • Cross-border EU customs clearance and export documentation automated pipelines

real moats

  • Physical inventory stored inside partner warehouse locations across Europe
  • Aggregated shipping volume discounting unavailable to independent SMB merchants
  • Deep operational integration between warehouse management hardware, staff, and logistics networks

open source escape hatches

Sifted

Ingesting carrier CSVs and flagging late deliveries in a local database takes less than two weeks. However, automating claim submissions across anti-bot carrier portals and leveraging anonymized rate benchmarks from billions in shipping spend cannot be replicated in-house.

you can rebuild

  • Carrier invoice CSV and flat-file parsing
  • Basic tracking SLA breach detection
  • Historical shipping spend breakdown by zone and service level
  • Dimensional weight surcharge anomaly alerts
  • Basic package volume and shipping cost reporting dashboards

what you lose

  • Automated refund claim submission pipelines to carrier web portals
  • Anonymized cross-shipper carrier rate benchmarking data
  • Predictive contract modeling based on historic shipping profiles
  • Handling of legacy carrier EDI 210/214 format updates
  • Dedicated carrier negotiation advisory support

real moats

  • Proprietary benchmark dataset of thousands of carrier contracts across billions in parcel spend
  • Automated claim submission integrations resilient to carrier portal friction and anti-scraping changes
  • Deep domain knowledge of carrier tariff schedules and seasonal surcharge rule-sets

open source escape hatches

Questions people ask

Which is easier to rebuild with AI, Bigblue or Sifted?

Sifted. It scores 4/10 on vibe code with a moat of 6/10, so an AI-assisted MVP takes about 2 weeks and a full replacement about 12-18 months, due to carrier API instability, EDI 210 parser edge cases, claim filing automation, and lack of cross-merchant rate benchmark data.

Which one costs less, Bigblue or Sifted?

Bigblue at $600/mo/mo for a typical mid-market store. The gap between the two is about $10,800/mo a year.

What do I lose if I replace Bigblue?

Access to Bigblue's network of physical EU fulfillment centers Bulk discounted shipping rates across European carriers like DPD, DHL, and Colissimo Physical warehouse picking, packing, and unboxing labor

What do I lose if I replace Sifted?

Automated refund claim submission pipelines to carrier web portals Anonymized cross-shipper carrier rate benchmarking data Predictive contract modeling based on historic shipping profiles

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