Project Hammer: reduce collusion in the Canadian grocery sector

Rising food prices and past price‑fixing scandals in Canada are fuelling interest in “Project Hammer,” an open dataset of grocery prices intended to expose potential collusion among major chains. Commenters debate whether transparent, historical price data can meaningfully reveal anti‑competitive behavior, noting both the technical difficulty of proving collusion from pricing patterns alone and the limitations of Canada’s competition enforcement. Others broaden the critique to structural issues such as oligopolistic market structure, weak antitrust policy, supplier consolidation, and broader inflationary forces, questioning how much grocery chains themselves are to blame.

Project overview

  • Project Hammer compiles historical Canadian grocery prices from major chains and releases them publicly (e.g., SQLite dump) to enable academic and legal analysis and, ideally, increase competition and deter collusion.
  • Some commenters are enthusiastic about the transparency and potential for consumer tools (price trackers, comparison apps, community buying, etc.).

Collusion vs. competition

  • Several point to Canada’s proven bread price‑fixing scandal and coordinated “hero pay” and seasonal price freezes as evidence that grocers can and do collude.
  • Others stress that similar or synchronized prices can arise from healthy competition, common suppliers, price‑matching, or shared cost shocks; correlation alone is not proof of collusion.
  • There is concern that highly transparent, real‑time price data can actually facilitate tacit collusion: firms track each other and quickly match price hikes instead of undercutting.

Evidence and international parallels

  • Examples cited from Austria and Norway show near‑simultaneous, identical price moves across chains; some see this as damning, others attribute it to shared suppliers or signaling.
  • Norwegian and Austrian cases illustrate both explicit collusion findings and suspicion where proof is lacking.

Limits of price‑data analysis

  • Antitrust practitioners in the thread argue that detecting collusion from price series alone is extremely hard; robust cases usually require internal documents, communications, or “motel‑meeting” evidence.
  • Grocery markets have thousands of products, regional pricing, promotions, and volatile input costs, increasing false‑positive risk if one just hunts for suspicious patterns.
  • They encourage treating the dataset as a “hammer” that enables hypothesis generation and public scrutiny, not as a standalone detector of illegality.

Canadian market structure & broader causes

  • Many characterize Canada as oligopoly‑heavy (grocers, telecom, banks), with weak competition policy, frequent consolidation, and some protectionist or supply‑management regimes (dairy, poultry).
  • Debate over food inflation: some emphasize rising gross margins and corporate profits; others point to monetary policy, fuel costs, war, COVID disruptions, and concentrated suppliers as primary drivers.
  • There is broad agreement that grocers are part of the problem, but disagreement on how large a part compared with macro policy and upstream consolidation.