Sales
Performance by customer and product, changes in purchase frequency and follow-up opportunities.
GrowthBridge / Commercial Intelligence
We help mid-sized food, beverage and consumer goods distributors in the United States turn sales, margin and inventory data into commercial decisions.
Work with your existing systems · Without building an analytics team from scratch
Three signals worth a closer look.
Detect. Review. Assign an action.
UNITED STATES
For distributors already working with
01 / From data to action
Explore three examples of how we connect a number with a conversation and a next step.
Customer A / Net sales
−20%
in customer purchases
($9,600 − $12,000) / $12,000 = −20%
What we detect
Sales to this customer fall from $12,000 to $9,600 across two consecutive four-week periods.
What we review
Check ordering frequency, product mix, returns and seasonality before interpreting the decline.
The next action
Assign an account follow-up to the sales rep and record the reason and next opportunity.
Suggested ownerSales leader + account representative
Fictional data. Thresholds and update frequency are agreed with each business.
02 / A focused first solution
We start with a defined scope across sales, margin and inventory. The focus is knowing what needs attention and who takes the next step.
Performance by customer and product, changes in purchase frequency and follow-up opportunities.
Gross margin by customer or product, cost changes and discount impact, based on available data.
Turnover, coverage and slow-moving products to coordinate purchasing with commercial activity.
We define scope, data sources, investment and timing after reviewing your data and priorities.
03 / From your systems to your operation
Identify the decision that is difficult to make today and the information needed to answer it.
Review access, data quality and definitions of sales, costs and stock. Agree on viable integrations and update frequency.
Configure indicators and signals with agreed thresholds. AI helps summarize findings and prepare follow-ups using validated information.
Review priorities with your team, assign owners and follow results at an agreed cadence.
Commercial understanding in practice
The team behind GrowthBridge
We combine 14+ years of pricing and commercial strategy at global consumer goods companies with analytics, automation and AI.
Founder · Pricing, margin & commercial strategy
14+ years in consumer goods at Coca-Cola, AB InBev and Colgate, leading pricing, revenue growth management and P&L, and working hands-on with distributors and national retail chains. Juan uses AI to find where distributors are losing margin, and to deliver in weeks what used to take a corporate analytics team months.
Partner · Data, AI & automation
A computer engineer with a background in analytics, business intelligence and commercial and financial management. Marcos brings together generative AI, data and automation to support decisions, connect systems and simplify everyday work.
Work directly with us, from the first conversation through launch.
A few things to know
The approach starts with your existing systems. Before defining the scope, we review which data can be extracted or connected and the limitations of each source.
Depending on the scope: sales and returns by customer and product, cost of goods sold, inventory balances and stock movements. We review what is available and the level of analysis it supports.
We can support integration, indicators and follow-through without you having to build an analytics team from scratch. We need a business counterpart to validate information and participate in decisions.
Pricing, discount and purchasing decisions stay with your team. AI can help summarize signals and prepare actions; rules and approvals are defined with you.
A commercial decision is a good place to start
Tell us what you distribute, where your data lives and which decision is proving difficult.
Direct contact with the founder.