Food and beverage businesses live on operational edges: perishability, seasonal demand, supply chain fragmentation, and consumer attention that shifts month to month. D2C brands compete on brand and logistics. QSR margins live on throughput and food cost. CPG brands need supply visibility from farm to retail to home. Consult Saksham has helped food and beverage teams build platforms and infrastructure for supply chain transparency, demand forecasting, and point-of-sale intelligence. Since 2012, the practice understands that food tech gets built at the intersection of retail speed and agricultural reality.
Food and beverage businesses can't wait for insights. A lettuce shipment spoils in days. Consumer demand for a TikTok-trending drink can double overnight. Supply chains are fragmented and trust-based. Food safety compliance is non-negotiable and retrospective. The tech that works is: forecast demand accurately enough to avoid spoilage and stockouts, move supply chain data fast enough to catch problems, give stores and restaurants the information they need to optimize local mix.
The practice has built demand models for CPG brands, QSRs, and grocery platforms. Accuracy matters because inventory is perishable and margin is tight. Models that ignore seasonality or trend noise cost real money in both waste and stockouts.
Food safety compliance requires traceability. Smart supply chain tech goes further: it surfacs supply constraints early, flags quality issues at inbound, and gives operators visibility that shapes purchasing and menu decisions. Consult Saksham has built this for CPG, food service, and retail.
The practice has designed store ops platforms for QSRs, grocery, and specialty food retail. Store managers need labor scheduling, inventory, local assortment, and food cost all in one view. When integrated with POS and supply data, the system becomes a profit-and-loss lever.
Three to four weeks. Principal-led platform, data, and delivery review with a written plan.
Monthly retainer at the right cadence for the stage. Weekly call, hire panels, board prep.
Build, buy, partner across the Food & Beverage-relevant use cases. Governance and economics included.
Ten to fifteen business days. Investor memo, 100-day plan, direct readout.
A nationally distributed CPG brand was losing margin to spoilage and emergency reorders. The demand forecasting model was built on outdated assumptions and couldn’t account for regional variability or promotional effects.
Saksham rebuilt the demand forecasting pipeline with regional segmentation and promotional lift modeling. Forecast accuracy improved from 72% to 91% MAPE. Spoilage dropped 22%. Emergency reorders, the most expensive way to fill a shelf, dropped by more than a third.
The first conversation is thirty minutes. By the end of it, the shape of the engagement is clear.