How High is High: Breaking the Negative Feedback Loop in Automated Replenishment
About the role
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 strong 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
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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: hello@clarivant.ai A straight answer within one business day. Or read the questions buyers ask us →
Not the right fit? Search for How High is High: Breaking the Negative Feedback Loop in Automated Replenishment jobs in Calgary, Alberta, Canada
About Clarivant
Clarivant helps mid-market companies turn fragmented data into competitive advantage.
We combine enterprise-proven frameworks with founder-designed methods to deliver measurable ROI in months, not years. Unlike large consultancies, you get senior experts from day one—no bait-and-switch with junior teams.
WHAT WE DO
We transform disconnected spreadsheets and manual reporting into automated, trustworthy data foundations that accelerate confident decision-making.
Our solutions are built on modern data stacks (Snowflake, dbt, Fivetran) and tailored to your business—whether you're optimizing supply chains, reducing churn, improving margins, or scaling operations.
WHO WE SERVE
Mid-market companies ($100M–$1B+ revenue) in:
- E-commerce & Retail
- Manufacturing & Supply Chain
- SaaS & Technology
- Financial Services
- Consumer Goods (CPG)
We work with CFOs, COOs, and CDOs who need to prove ROI on data initiatives and make their organizations faster and smarter.
WHY CLARIVANT
✓ Founder-designed playbooks ensure rigor, speed, and accountability ✓ Global-scale expertise from companies like eBay and P&G ✓ Measurable outcomes tied to your business metrics ✓ Senior-led delivery from day one ✓ ROI in 3-6 months, not years
PROVEN RESULTS
- 606% Year 1 ROI on modern data stack migration (Cybersecurity SaaS)
- $13.8M incremental sales through marketing optimization (CPG)
- Semantic layer implementation delivering real-time insights (QSR)
Based in Monterrey, Mexico | Serving US, Mexico, LATAM, Europe
Similar Jobs
How High is High: Breaking the Negative Feedback Loop in Automated Replenishment
About the role
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 strong 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: hello@clarivant.ai A straight answer within one business day. Or read the questions buyers ask us →
Not the right fit? Search for How High is High: Breaking the Negative Feedback Loop in Automated Replenishment jobs in Calgary, Alberta, Canada
About Clarivant
Clarivant helps mid-market companies turn fragmented data into competitive advantage.
We combine enterprise-proven frameworks with founder-designed methods to deliver measurable ROI in months, not years. Unlike large consultancies, you get senior experts from day one—no bait-and-switch with junior teams.
WHAT WE DO
We transform disconnected spreadsheets and manual reporting into automated, trustworthy data foundations that accelerate confident decision-making.
Our solutions are built on modern data stacks (Snowflake, dbt, Fivetran) and tailored to your business—whether you're optimizing supply chains, reducing churn, improving margins, or scaling operations.
WHO WE SERVE
Mid-market companies ($100M–$1B+ revenue) in:
- E-commerce & Retail
- Manufacturing & Supply Chain
- SaaS & Technology
- Financial Services
- Consumer Goods (CPG)
We work with CFOs, COOs, and CDOs who need to prove ROI on data initiatives and make their organizations faster and smarter.
WHY CLARIVANT
✓ Founder-designed playbooks ensure rigor, speed, and accountability ✓ Global-scale expertise from companies like eBay and P&G ✓ Measurable outcomes tied to your business metrics ✓ Senior-led delivery from day one ✓ ROI in 3-6 months, not years
PROVEN RESULTS
- 606% Year 1 ROI on modern data stack migration (Cybersecurity SaaS)
- $13.8M incremental sales through marketing optimization (CPG)
- Semantic layer implementation delivering real-time insights (QSR)
Based in Monterrey, Mexico | Serving US, Mexico, LATAM, Europe