Coca-Cola has introduced a product recommendation feature called Perfect Basket to its Coke Buddy self-ordering platform in Malaysia, aiming to help retail outlets order more effectively by analysing multiple data signals before each purchase decision.
What Is Coke Buddy and How Does Perfect Basket Work?
Coke Buddy is Coca-Cola’s self-ordering platform that allows Malaysian retailers to purchase products through a dedicated app, website, or WhatsApp. The platform currently supports approximately 39,000 retail outlets across Malaysia and already offered personalised order suggestions and order tracking prior to the launch of Perfect Basket.
Perfect Basket builds directly on these existing capabilities by introducing a more structured recommendation layer before a retailer completes an order. Powered by Coca-Cola’s Central Recommendation Engine, the feature analyses a combination of factors including:
- Previous order history and ordering frequency
- Seasonality and weather conditions
- Purchasing patterns among similar businesses in comparable locations
Based on this analysis, Perfect Basket recommends both specific products and suggested quantities before the retailer submits their order. Retailers retain full control over what they ultimately purchase, and Coca-Cola’s sales representatives continue to work alongside the digital system.
Campaign Results: Perfect Basket, Perfect Ride
Coca-Cola recently disclosed performance data from its Perfect Basket, Perfect Ride campaign, which ran from January to April 2026. The campaign was designed to encourage Malaysian retailers to actively use the recommendation feature when placing orders through Coke Buddy.
The initiative received more than 4,500 entries from over 4,000 retailers in Malaysia. Key figures from the campaign include:
- 83% of participating retail outlets adopted the Perfect Basket recommendations during the campaign period.
- Participating outlets that followed the recommendations recorded higher sales revenue growth compared to similar retail outlets that did not.
It is worth noting that these figures apply only to retailers who took part in the campaign, not to the full network of approximately 39,000 outlets supported by Coke Buddy. Coca-Cola did not disclose the precise size of the revenue growth difference, nor did it provide detailed performance data on how individual recommendations affected inventory levels, stock availability, or logistics costs.
Broader Rollout Across Coca-Cola’s Global Network
Malaysia is not the only market where Coca-Cola has deployed suggested-order capabilities. In its first-quarter 2024 results, the company reported that it and its bottling partners had connected nearly eight million customers to business-to-business platforms globally. At that time, similar recommendation capabilities had already reached more than three million outlets in Latin America.
During Coca-Cola’s second-quarter 2024 earnings call, the company shared results from earlier pilots using comparable recommendation systems. Retailers who received product recommendations based on previous orders and market data were found to be more than 30% more likely to purchase the recommended SKUs. These results were from initial pilots and do not relate specifically to the Perfect Basket feature in Malaysia.
In a separate demand-prediction initiative, Coca-Cola combined historical sales data with weather and geolocation information to generate replenishment recommendations. Coca-Cola CIO Neeraj Tolmare told Fortune in 2025 that a three-country pilot recorded sales 7% to 8% higher than comparable outlets that were not using the recommendation algorithm.
Impact on Coca-Cola’s Sales Process
Beyond supporting retailers, Coca-Cola has also described how these digital ordering tools are reshaping its own sales operations. Then-chief executive James Quincey noted in 2024 that digitally generated orders allow pre-sales staff to reduce the time spent collecting routine orders, freeing them to focus on account development and relationship management instead.
Quincey also highlighted that digital ordering enables retailers to adjust deliveries without waiting for a scheduled salesperson visit, making the replenishment process more flexible. Fulfilment of orders placed through Coke Buddy is handled by Coca-Cola Refreshments Malaysia or its suppliers under existing sales and distribution arrangements.
What Comes Next for Coke Buddy in Malaysia
Perfect Basket remains available to Malaysian retailers following the conclusion of the Perfect Basket, Perfect Ride campaign. Coca-Cola has stated its intention to continue developing both Coke Buddy and the recommendation feature, guided by retailer feedback and ongoing data analysis. The company has confirmed that retailers will continue to have access to Coca-Cola sales representatives alongside the digital ordering system, ensuring a hybrid approach that combines technology with human support.
As Coca-Cola expands these capabilities across its global bottling network, the Malaysian rollout represents one of the more documented examples of the company applying data-driven ordering recommendations at scale within a single market.
Frequently Asked Questions
Perfect Basket is a recommendation feature within Coca-Cola's Coke Buddy self-ordering platform. It uses the Central Recommendation Engine to analyse previous orders, ordering frequency, seasonality, weather, and purchasing patterns among similar businesses, then recommends specific products and quantities to retailers before they complete an order.
Coke Buddy currently supports approximately 39,000 retail outlets across Malaysia. During the Perfect Basket, Perfect Ride campaign from January to April 2026, over 4,000 retailers participated, and 83% of those outlets adopted the Perfect Basket recommendations. Participating retailers that followed the recommendations recorded higher sales revenue growth than comparable outlets.
Yes. As of its first-quarter 2024 results, Coca-Cola and its bottling partners had connected nearly eight million customers to B2B platforms globally, with similar recommendation capabilities reaching more than three million outlets in Latin America. A separate three-country pilot combining historical sales data with weather and geolocation information recorded sales 7% to 8% higher than outlets not using the recommendation system, according to CIO Neeraj Tolmare.
