Retail Asia 2018 RA September.October 2018 (Online) | Page 51

LOGISTICS early on and implement solutions in real time. Lastly, two-way communication with the customer is encouraged as customers want to know if they can expect their deliveries on time or whether there are any issues that they need to be aware of. Data-driven efficiencies It is widely known that data and business intelligence are vital components for any company wishing to be successful in the FMCG industry, but especially so for food delivery companies. Predictive analytics play a huge role in optimising demand planning and ensuring product list disruption is minimised for the end-consumer. Beckitt emphasises: “I’ve found consistency is hugely valued by our consumers. Picking apart demand cycles in high levels of detail and learning regarding external and internal influences on purchasing behaviour are undoubtedly required in order to be prepared to fulfil our service obligations.” Besides data’s role in increasing operational efficiency to reduce cost and provide more predictive algorithms to guide better forecasting, data speaks about the demand and helps HappyFresh Malaysia in running and making relevant decisions in the company as well as assists to foresee season and off-season trends. “In terms of logistics, data helps our Operations department to forecast the number of fleet that we’ll need, even down to the simpler things like how big the carrier on their motorbike should be. Aside from that, we also use the data to see which stores have high demand in certain areas and prepare us for the logistics support needed,” Hu expounds. As for honestbee, the on-demand delivery service believes in using data efficiently to ensure impactful business results by harnessing data not only to derive insights around demand, but also to anticipate shifts in consumer behaviour in real time and also to better manage supply. “With a mission to better serve the needs of customers, our Data team works with our Operations team to constantly address challenges and effectively reduce resource consumption. We also leverage our technology and deep understanding of data to further improve the product features and special promotions for our consumers,” Lim says. She adds that the e-tailer also harnesses its technology to equip partners with data and resources that aim to provide a better understanding of their sales performance on honestbee in a bid to extend their reach and further enhance their product offering. “[Logistics] challenges can be overcome by increasing drop density, using sustainable vehicles and packaging solutions, and data-driven efficiencies.” — Rajni Gupta, Chief Operating Officer and Founder, TwentyOff With a mission to help consumers get the best value for monthly essentials while helping save the environment, sustainability is at the heart of TwentyOff’s business model. Fleet flexibility Data also plays a key role in maximising fleet management in order to provide timely deliveries. For example, when it comes to labour management, BottlesXO’s Beckitt advises retailers to be reactive with shift plans to accommodate changing circumstances such as the weather or flash promotions. “Knowing how many delivery staff you will need on duty to match predicted levels of orders is highly important,” he says. He also advocates route optimisation from the dispatch team to the delivery team as the key to efficiency and driving down those delivery times during peak hours. “We operate in areas with very high population density; smart order assignment makes a huge difference to the average distance travelled to complete a series of orders that our drivers undertake,” he shares. honestbee (Singapore) also works very closely with its fleet and “network of bees” who are trained to meet the demands during peak periods. Lim discloses: “The biggest concern that comes with fleet management is the operational costs. At the moment, our priority in this area is mainly around optimising fleet management so as to reduce wastage but not compromise efficiency when it comes to making prompt deliveries. In line with this, we are currently analysing order activity so we can plan for shorter delivery distances and better order distribution among our Delivery Bees.” In Malaysia, HappyFresh makes sure that the company has enough fleet in every cluster and the distance between the shop and customers are in a range where they can reach the destination in an hour. To make it possible for the riders to pool their orders in one go rather than making a few trips, the online platform optimises picking Retail Asia September/October 2018 49