Case Study /
Food Retailers

Turning Farm Level Evidence Into a Stronger Premium Sourcing Program

Backstory Case Study

This case study shows how a premium food retailer can move from fragmented supplier information to clearer sourcing decisions, stronger evidence and more scalable premium sourcing programs.

Industry
Food Retail
Size
51-200 employees
Location
United States
Backstory Platform Use
Farm Identity, Certification Intelligence, Supply Intelligence
The Problem

Premium supply was valuable. Proving it consistently was the challenge.

Premium sourcing depends on evidence: who produced the product, where it came from, which standards apply and whether the supply can scale.

For this retailer, critical supplier information lived across spreadsheets, supplier emails, certification portals and separate internal systems. Teams spent time collating data rather than using it to make sourcing decisions.

The result was slower decision-making, inconsistent visibility into supplier readiness and more manual effort behind premium product claims.

We needed a way to move from collecting supplier information to actually using it in our sourcing decisions.

Illustrative client quote replace with approved customer quote when available.

Challenge

What made the work difficult.

  • Supplier records were difficult to compare across programs, categories and regions.
  • Evidence behind product claims sat separately from day-to-day sourcing workflows.
  • Teams lacked a consistent view of supplier readiness, capability gaps and future supply potential.
  • Manual reporting created unwieldy work for internal teams and suppliers.
Solution

Backstory connected farm identity, supplier evidence and sourcing intelligence.

  • Verified farm identity connected the business, land and product context.
  • Certification intelligence made supplier readiness and capability gaps easier to understand.
  • Supply intelligence surfaced qualified suppliers and future sourcing opportunities.
  • Verified evidence could be reused for internal reporting, sustainability programs and product claims.

The value was not just better data. It was being able to act on that information faster and with more confidence.

Illustrative outcome statement.

Outcome

Better visibility. Faster sourcing. Stronger evidence.

By moving from fragmented records to connected intelligence, the retailer gained a clearer view of where supply existed, what evidence supported it and where the program could scale next.

Clearer supplier readiness

Understand which suppliers already meet the requirements and where gaps remain.

Faster sourcing decisions

Identify qualified supply and emerging opportunities without rebuilding the evidence each time.

More trusted claims

Support product, sustainability and premium sourcing claims with reusable farm-level evidence.

What's Next

Scale the intelligence across more suppliers, categories and sourcing programs.

The next step is to extend the same trusted data model across additional suppliers and product categories, giving more teams access to the same verified agricultural intelligence.

Over time, the retailer can use that connected intelligence to strengthen sourcing resilience, identify premium opportunities earlier and reduce the manual work behind evidence and reporting.

Ready to Put Agricultural Intelligence to Work?

Talk to Backstory about building stronger sourcing programs with trusted farm-level evidence.

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