How High is High: Breaking the Negative Feedback Loop in Automated Replenishment (Calgary)

How High is High: Breaking the Negative Feedback Loop in Automated Replenishment (Calgary)

06 Aug
|
Clarivant
|
Calgary

06 Aug

Clarivant

Calgary

EXHIBIT D the receipts EXHIBIT D the receipts Work/How High is High: Breaking the Negative Feedback Loop in Automated Replenishment P&G; Canada (Walmart Canada replenishment team) How High is High: Breaking the Negative Feedback Loop in Automated Replenishment Identified a critical flaw in Walmart’s automated replenishment — $3M incremental revenue in 4 months. Founder's track record $3M incremental revenue in 4 months Book a 30-min strategy call Read the case ↓ Founder’s track record Replenishment Analyst on P&G;’s Walmart Canada team. The in-house operator experience Clarivant is built on.

The starting point Walmart’s RetailLink replenishment was quietly killing P&G;’s best stores.

Bulky Femme

Care products sat in backrooms; the system read low shelf sales as low demand, ordered less, and starved the shelf further. Golden stores spiralled toward single-digit weekly forecasts on demand that was really there. The method Across hundreds of SKU-store combinations, I built a custom On-Shelf Availability algorithm in R and KNIME that separated availability-driven low sales from genuine low demand, flagging stores whose decline matched the feedback-loop signature.

Then I proposed a counterintuitive pilot — strategic overstocking of 10–20 products in ~20 golden stores — and staked my own neck on it: if it failed within a month, my manager and I would rent a U-Haul and buy back the excess ourselves.



The result Overstocked stores recovered on the shelf within two weeks; Walmart asked to expand before the month was out. Scaled to all of Canada and then to Shaving — P&G;’s highest-margin line — it drove $3M incremental revenue in 4 months (+4% in each category) and cut stockouts 10%, entirely from fixing an existing automation flaw, with no new products or promo spend.

It won a Pearl Award and became standard practice for bulky, high-velocity categories. “Arturo quickly became the go-to data person — organized, diligent, and a solid partner. We co-created ecommerce replenishment processes; his out-of-the-box thinking consistently improved how the team worked.” Bebul Soomro Director of Supply Chain, Procter & Gamble ✓ quoted verbatim ← All case studies Next case: Cracking Nielsen’s ETL: From 20 Days to 3 → SIGNATURE PAGE countersign this file Want a verdict like this on yours? The call is direct with the founder.

We take the engagements we can lead end to end — yours might be one we say yes to. Book the call — and we'll defend these numbers on the record. $3M incremental revenue in 4 months Book a 30-min strategy call signed. Direct with the founder.

No pitch. Bring your messiest data question. Not ready to book?

Write to us: [email protected] A straight answer within one business day. Or read the questions buyers ask us →

📌 How High is High: Breaking the Negative Feedback Loop in Automated Replenishment (Calgary)
🏢 Clarivant
📍 Calgary

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