The Business Challenge
The business situation the organisation faced before the project began.
A rapidly growing electronics retailer required a scalable and consistent approach to calculate delivery charges across an expanding store network.
Manual or inconsistent distance calculations created challenges in applying free shipping policies, determining delivery fees, and selecting the most appropriate fulfillment store.
The organization needed an automated workflow capable of calculating customer distance, applying location-based business rules, and supporting efficient delivery operations while maintaining a consistent customer experience.
How the Solution Was Delivered
Discovery, design, development, testing and rollout — the journey, not the tooling.
- 1Reviewed operational delivery requirements.
- 2Validated free shipping policies and distance-based pricing rules.
- 3Mapped delivery workflows within the POS process.
- 4Prepared business validation scenarios for delivery calculations.
- 5Executed functional testing for distance calculation and pricing accuracy.
- 6Validated fulfillment store recommendation logic.
- 7Supported User Acceptance Testing (UAT).
- 8Assisted post-deployment validation and operational issue resolution.
Business Outcomes & Impact
The measurable outcomes from the underlying AI Deployment — with the story behind them.
Implemented a location-based delivery pricing workflow supporting more than 200 retail stores, enabling automated distance calculation, standardized free shipping eligibility, consistent delivery fee determination, and intelligent store assignment to improve operational efficiency and customer experience.
Business Outcome Categories
The story behind the numbers
- Automated delivery pricing across more than 200 retail stores.
- Improved delivery fee accuracy through reliable location-based calculations.
- Standardized free shipping eligibility across retail operations.
- Reduced inconsistencies in delivery charge calculations.
- Enabled customers to receive immediate and transparent delivery costs during checkout.
- Improved fulfillment efficiency by recommending the nearest eligible retail store.
- Supported scalable delivery operations during rapid business expansion.
Lessons Learned
What surprised the team, what worked well, and what would be done differently.
- Business rules are as important as technology when automating operational decisions.
- Location intelligence can significantly improve both operational efficiency and customer experience.
- Standardized automation reduces inconsistencies across large retail networks.
- Accurate operational data creates a stronger foundation for scalable retail growth.
- Cross-functional collaboration is essential when implementing customer-facing automation.