Retail · Pricing intelligence
ShyftLabs built an intelligent pricing system that replaced manual updates with continuous, rule-governed pricing for a Fortune 500 retailer
- Price changes annually
- Vendor pricing rule compliance
- Stores managed from one platform
At a glance
- Client
- Fortune 500 retail corporation
- Industry
- Retail
- Solution
- AI-powered pricing optimization and compliance
- Scale
- 1,500+ stores
- Users
- Merchant pricing teams
The challenge
Competitor prices moved faster than the retailer could respond. Manual updates, inconsistent contract checks, and limited visibility made pricing decisions slow and difficult to manage.
Across a large retail network, this meant missed revenue opportunities, greater compliance exposure, and a pricing process that could no longer keep pace with the business.
The data foundation
Effective pricing required more than faster execution. It needed reliable information about the market, product profitability, contractual obligations, and past pricing decisions. ShyftLabs connected four critical sources of pricing intelligence
Competitor movements
Continuous market signals replaced weekly price monitoring.
Product margins
Item-level profitability informed every recommendation.
Vendor agreements
Contractual pricing terms became enforceable rules.
Pricing history
Previous decisions and merchant overrides provided context for future recommendations.
Together, these inputs established a consistent foundation for evaluating pricing opportunities against both market conditions and commercial constraints.
What we built
An intelligent pricing system that moves from recommendation to execution while keeping commercial rules and merchant oversight built into the process
- 01
Recommend
A margin-aware pricing engine evaluates competitor movements and generates competitive price recommendations at the product level.
- 02
Validate
Every recommendation passes through a compliance gate that checks vendor agreements before a price change can be executed.
- 03
Execute
Validated prices move through automated workflows across the retail network. Merchants retain visibility into recommendations and can intervene or override decisions when needed.
A continuous feedback loop uses pricing outcomes and merchant decisions to inform future recommendations.
The outcome
The biggest shift wasn't simply the volume of pricing automation. It was the change in how merchant teams worked.
Instead of processing individual updates and manually checking agreements, merchants could focus on pricing strategy, evaluate exceptions, and exercise judgment where it mattered.
Automated validation eliminated pricing errors and stop-ship incidents associated with inconsistent compliance checks. The system also achieved full adoption across merchant pricing teams.
What was once a manual, reactive process became an always-on pricing operation, combining continuous market responsiveness, consistent commercial controls, and human oversight at scale.
See how ShyftLabs helps enterprises connect data, build intelligent systems, and improve business performance
