VENDOR ORDERING

Mobile ordering system for vendors to place, review, and submit inventory orders in-store.

Designed as an end-to-end service connecting store associates, vendors, and backend systems to improve adoption and ordering accuracy.

overview

  • $700M+ in annual orders processed through this system

  • 5,600 vendors placing 9,000+ orders every week

  • Vendors spending 5–8 hours per store visit fighting slow, fragmented tools

  • 52,000 hours saved annually after redesign

the challenge

Vendor ordering was essential to store replenishment, but fragmented across multiple systems.

Vendors had to switch between tools to gather data and complete orders, slowing workflows and reducing accuracy.

Alignment across interfaces, workflows, systems, and user roles was disjointed.

Opportunity: unify the experience into a single, efficient ordering service.

Discovery

Set out to understand how vendor ordering is handled in-store and who is responsible for it

Research

  • Analyzed enterprise usage data to understand scope

  • Conducted contextual interviews across stores

  • Surveyed associates to uncover additional use cases

  • Audited legacy ordering systems

  • Mapped the current-state service, identifying breakdowns across user roles, handoffs, and system interactions.

Key Insights

  • Vendor ordering represented significant business impact

  • Primarily performed by vendors, not associates

  • Ordering required switching between systems to capture key info for decision making

  • Slow systems led users to prioritize speed over accuracy

Outcome: Focused on vendors as primary users, identifying key pain points and optimizing the experience for batch ordering

Exploring Directions

Explored approaches to support common ordering patterns and fast list building, considering impacts across upstream and downstream workflows.

OPTION A: USE EXISTING SYSTEM

Approach

  • Embedded ordering into existing inventory tool

  • Reused familiar cart-based interaction patterns

Pros

  • Lower learning curve

  • Works within existing system

Cons

  • Slower for high-volume ordering

  • Constrained by legacy system

OPTION B: DEDICATED ORDERING FLOW

Approach

  • Created dedicated ordering component

  • Optimized for bulk entry and speed

Pros

  • Faster for high-volume vendors

  • Streamlined ordering workflow

  • Standalone solution

Cons

  • Higher initial learning curve

  • Required new data integrations for key inputs

DECISION

  • Selected a dedicated ordering flow to support high-volume ordering and improve decision-making

  • Partnered with engineering to enable required data without impacting performance

Ordering Flow

End-to-End ordering flow

Defined a streamlined end-to-end ordering flows, reducing system switching and supporting key ordering scenarios

Shipped Product

order list

  • Consolidated ordering into a single screen

  • Surfaced key data for quantity decisions

  • Auto-calculated WOS to guide ordering

  • Enabled fast scan-and-build for bulk ordering

outcome

Faster ordering with improved decision-making

review order

  • Summarized order details before submission

  • Surfaced key data (minimums, weight, estimated arrival)

  • Reduced errors prior to submission

outcome

More accurate, confident orders

Saved orders

  • Provided pre-built suggested orders to reduce time spent building lists

  • Enabled users to track the status of submitted orders

  • Allowed vendors to resume and complete in-progress orders

outcome

Reduced time spent building orders and improved visibility into order status, eliminating the need to call for updates

COLLABORATION

  • Partnered closely with engineering during implementation

  • Conducted usability testing during build

  • Adapted flows based on technical constraints

Rollout

  • Defined phased rollout (flagship → regional → national)

  • Tracked adoption and friction using Pendo

  • Partnered with vendor teams to support rollout

Outcomes & Impact

52,000

Hours Saved Annually

1 hour saved per vendor visit, validated from prototype to production

Ordering Accuracy

Key inventory data surfaced in context, eliminating system switching

Faster Adoption

Simplified workflows drove consistent usage across vendor teams