BCG: AI can lift trade-sales by ~20%

A Boston Consulting Group report says companies selling through thousands of small neighborhood stores can lift revenue by 15% to 20% with artificial intelligence, which is a much bigger claim than the usual “save time on emails” pitch. The report is about general trade in emerging markets, where sales teams still spend their days deciding which shops to visit, what to push, and how to recover missed orders. (bcg.com) (ciol.com) General trade means the messy offline network of wholesalers, distributors, and tiny retail outlets that big consumer brands depend on in countries like India. A single field salesperson may visit 20 to 25 stores in one day, which turns route planning into a daily logistics problem instead of a simple sales call list. (bcg.com) That is why the promised gain is not coming from one magic chatbot. Boston Consulting Group says the lift comes from three layers at once: better planning before the visit, better execution inside the store, and leaner operations after the order is placed. (ciol.com) (economictimes.indiatimes.com) In planning, the software can rank which outlets matter most that day and build the route in the right sequence. Boston Consulting Group describes an artificial-intelligence sales companion on a smartphone that uses billing records and loyalty data to tell a rep where the next high-probability sale is likely to be. (bcg.com) Inside the store, the same system can turn scattered signals into a recommendation the rep can actually use. The report says it can combine structured data, like billing history, with unstructured data, like store photos, handwritten notes, shelf layouts, and past sales conversations, to suggest the right stock-keeping unit, pitch, or recovery action. (bcg.com) (telanganatoday.com) The sales pitch from consultants is also changing from “artificial intelligence is powerful” to “here is the cash register effect.” Fortune India quoted Boston Consulting Group’s Parul Bajaj saying firms can skip years of slow go-to-market upgrades and jump from manual route plans and one-size-fits-all pitches straight to an artificial-intelligence-enabled model. (fortuneindia.com) Boston Consulting Group included one concrete case instead of only averages. It says a mid-size homecare brand in an emerging market raised sales 11% within one month after deploying an artificial-intelligence companion that made order recommendations and sent reminders to recover lost sales. (bcg.com) There is also a labor angle here. Boston Consulting Group says reach in distributed sales channels is flattening, shelf space is getting tighter, electronic commerce has added competition, and talent quality is under pressure, so companies need more output from the same number of reps instead of simply hiring more people. (bcg.com) This fits a broader Boston Consulting Group push to sell artificial intelligence in buyer-friendly numbers. In its 2024 sales outlook, the firm argued that combining generative artificial intelligence with predictive artificial intelligence could create a 1.8 times margin impact in business-to-business sales through both revenue growth and efficiency, which is the same formula now being applied to corner-store distribution. (bcg.com) The catch is that Boston Consulting Group does not say companies can buy one tool and get 20% more revenue next quarter. Its own checklist calls for workflow redesign, an integrated data stack, use-case prioritization, and making the software part of everyday processes, which means the real bet is not on a model alone but on changing how the field force works every day. (bcg.com)