FMCG van sales in India runs on coverage. The more outlets a rep visits in a shift, the more orders they take, the more revenue they generate. Most van sales reps cover 25–40 outlets per shift. On a poorly sequenced route, 15–25% of their time is spent on travel that a better sequence would have eliminated. That is 4–8 wasted visits per rep per day. For a team of 20 reps, that is 80–160 missed outlet visits daily. At an average order value of ₹2,000 per visit, that is ₹1.6–3.2 lakh of uncovered revenue — every day. --- Why Experience-Based Route Planning Has Limits Experienced FMCG reps know their territory. They know which outlets to visit in the morning and which roads to avoid during peak hours. That institutional knowledge is genuinely valuable. But it cannot simultaneously optimise across all the variables that determine the most efficient sequence for a given day. Variable What It Requires Can a Rep Optimise It Manually? Outlet visit windows Knowing when each owner is available to order Partially — from experience, but not updated daily Van load by stop Calculating weight reduction as stops are completed No — too many combinations to track mentally Traffic by time of day Knowing which roads are congested at which hours Partially — but traffic changes daily Outlet sales potential Prioritising high-value outlets for peak availability windows No — too many variables to balance simultaneously Fuel efficiency Minimising total distance across the full route No — local optimisation produces globally suboptimal routes The rep optimises for what they can see. The algorithm optimises for all of it simultaneously. --- The Van Sales Route Optimisation Inputs Optimising a van sales route requires three categories of input data. Outlet data. Address, visit window preference, historical order frequency, and average order value. This data typically exists in the FMCG company's CRM or field force management system. Rep data. Starting location, shift start and end times, van load capacity by weight, and any fixed visits that must happen at specific times. Traffic data. Time-of-day traffic patterns for the rep's territory. Indian metro traffic follows predictable patterns — morning peak 8am–11am, afternoon relatively clear, evening peak 5pm–8pm. Routes that sequence market-area visits for pre-peak hours consistently outperform experience-based planning. --- What Optimised Routes Deliver for Van Sales Teams The improvement from optimised van sales routes is consistent across FMCG implementations. More productive visits per shift. Eliminating backtracking and respecting outlet visit windows typically adds 6–10 productive outlet visits per rep per shift. For a team of 15 reps, that is 90–150 additional outlet visits per day. Higher strike rate. Visiting outlets when the owner is available to order produces more orders per visit. A rep arriving at a kirana store during the owner's morning stocking routine converts at 65–75%. The same rep arriving mid-afternoon converts at 30–40%. Lower fuel cost. Optimised sequences reduce total kilometres driven per rep by 15–25%. For a fleet of 20 vans, fuel savings run ₹8–15 lakh annually. --- Connecting Route Optimisation to WhatsApp Order Management Route optimisation and WhatsApp order management are most powerful when connected. The optimised route tells the rep which outlets to visit and in what sequence. At each outlet, the rep takes the order via WhatsApp. The automated order processing system converts that message to an ERP sales order within 2 minutes. When the rep completes their route, every order placed during the shift is already in ERP. The day's sales are visible to the commercial team and production planning team in real time — not at 7pm when the rep finishes their reconciliation. The result is a van sales operation that is simultaneously more productive, more accurate, and more connected.