Customer story · S&R Shopping

From legacy systems
to the systems S&R runs on.

S&R Membership Shopping is a large membership retailer in the Philippines. Dalfin AI replaced legacy-system-based processes with three live systems: warehouse management, demand forecasting and member management. Specialist AI work is scoped separately.

S&R Membership Shopping
  • Warehouse managementLive
  • ForecastingLive
  • Member managementLive
  • Computer vision
  • Darren Bates, S&R Membership Shopping
  • Anthony Sy, S&R Membership Shopping
S&R ShoppingPhilippines · Large-scale retail operations
The starting point

The work ran on legacy systems.

Warehouse tasks, stock checks and sales order quantities were managed in legacy systems. That made outbound preparation slow, left pick faces empty and put the burden of checking on staff.

5 hours1 hour

Pick list and outbound preparationMoved from legacy systems to the warehouse management system.

AreaBeforeWith Dalfin AI’s systems
Pick lists and outboundPrepared in legacy systems. About 5 hours of work.Generated in the WMS. About 1 hour.
Picking areaPick faces often left empty. Heavy manual checking.Letdown tasks keep pick faces stocked, with automated checks.
InboundReceiving and putaway coordinated in legacy systems.Pre-ASN slot planning, putaway and forklift tasks in the WMS.
Sales ordersQuantities estimated by hand.Prepared from SKU-level demand forecasts and sent correctly.
Delivered scope

Three live systems,
delivered.

Each system covers a defined part of S&R’s operation and works from the same item and location data.

Live systemWMS

Warehouse management

Runs inbound, letdown and outbound at the distribution centre, with live bay utilisation by aisle and level.

  • Pre-ASN slot planning against bay capacity
  • Inbound logs, putaway and movement allocation
  • Forklift tasks and LPN tracking
  • Letdown to keep pick faces stocked
  • Outbound pick lists
  • Integration with the merchandise system (MMS)
S&R Warehouse MS: Pre-ASN slot planning, showing bay utilisation by aisle and level for an incoming SKU
Pre-ASN slot planning: required pallets matched to bay capacity by aisle and level.
Live systemFMS

Demand forecasting

SKU-level forecasts replace manual estimates, so sales orders go out with the right quantities.

  • Forecasts from 1 to 52 weeks for each SKU
  • Actual against forecast by day, week or month
  • Promotion reporting
  • Exception reports
  • Inventory and sales forecasting
  • CSV export for planning teams
Forecast results for one SKU: actual sales for 2025 and 2026 compared with forecasts for 2026 and 2027
Actual sales for 2025 and 2026 compared with forecasts for 2026 and 2027, for one SKU.
Live systemMRM

Member management

One record of S&R’s members across every club, with analytics by membership type and tier.

  • Members, non-members and employees
  • Primary and supplementary memberships
  • Analytics by club and tier: business, gold, affiliate, complimentary
  • Location configuration and maps
  • Searchable summaries with export
S&R MRM system: member analytics by club, with membership counts blurred
Member analytics by club and membership tier. Counts are blurred for publication.
Customer voices

The experience behind the implementation.

Portrait of Darren Bates
“a deep understanding of our business needs”
Darren Bates
Senior Vice President, S&R Membership Shopping
Portrait of Anthony Sy
“streamlined our operations, enhanced customer experience”
Anthony Sy
President, S&R Membership Shopping
S&R Vision Suite: warehouse operations video analysis, with a forklift and a person on a transporter detected in a camera feed and the resulting alert event
Specialist AI work

Computer vision is a separate system.

The computer vision work is presented as a separate system. It is distinct from the live warehouse, forecasting and member management systems.

S&R Restaurant Order System: a pizza menu with prices, add-to-cart buttons, an unavailable item and the cart panel
Restaurant ordering

S&R Pizza Application

Customers browse the menu by category, search for items, build their order in the cart and check out on one page. Items that are out of stock are marked unavailable, and customers can review their previous orders.

Discuss a comparable application programme.

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