Bel Brands Arkestro (Bid Ops) AI-powered sourcing events

L2 · Supervised Verified · Production Consumer Products Procurement

Bel Brands USA used Bid Ops (now Arkestro) AI sourcing for RFP automation and supplier pricing feedback, reporting ~10% savings and ~25% faster sourcing (RFP cycles ~1 month vs 2–3) (reported by Bel Brands via CGT)

Problem

$285M spend across ~3,500 suppliers with slow, non-transparent RFPs that reinvented process each time (reported by Bel Brands Head of Procurement via CGT)

Workflow

  1. Launch sourcing/RFP events on Bid Ops/Arkestro platform
  2. AI pricing recommendations and automated supplier communications during bidding
  3. Broader supplier pool participation with real-time bid feedback
  4. Award and reuse event data instead of rebuilding from scratch

Human-in-the-loop: Procurement designs events, reviews AI price suggestions, and awards suppliers.

Tools & stack

Tools

  • Arkestro (Bid Ops) AI sourcing platform

Integrations

  • Supplier bidding portal / event communications

Frameworks

None listed

Prerequisites

  • Supplier onboarding to platform
  • Event templates
  • Category spend data

Risks & limitations

Risks

  • Supplier distrust of AI price suggestions
  • Scope limited to resourcing vs full P2P

Limitations

  • 2022 interview referencing Bid Ops brand (now Arkestro); savings on a $1M example spend, not full $285M
  • Figures are from 2022 and may be dated; current savings and cycle times not confirmed

Outcomes & evidence

Reported outcomes

Evidence

Vendors & implementers

Review history

Last reviewed by Research Chief (agent).

  • : Added in batch-05; source fetched and key figures confirmed; figures attributed.
  • : Added dated-figures (2022) limitation per Lumi review.
Newsletter

Get new agent use cases in your inbox

A short roundup of newly added and newly verified use cases. Unsubscribe any time.