Discover how we've helped organizations across Saudi Arabia and Egypt transform their supply chains through data-driven insights and analytical excellence.
Challenge: A retail chain operating dozens of branches was bleeding revenue from persistent stockouts on fast-moving items while tying up capital in excess inventory of slow movers. With 2+ years of sales history across thousands of SKUs, the team had no systematic way to anticipate demand shifts at each branch. Replenishment was based on seller intuition and historical averages, leading to chronic imbalances. Leadership needed a scientific approach to forecasting that could account for seasonality, branch-level variation, and supply lead times.
Challenge: A distribution company standing at a crossroads—facing major expansion decisions with millions on the line, yet lacking the data-backed projections needed to justify capacity investments or plan facility growth. Without 10-year demand forecasts, every expansion proposal was a leap of faith rather than a calculated strategy.
Challenge: A professional who wanted to advance their career but felt stuck—watching peers move into supply chain leadership roles while they lacked the forecasting, analytical, and inventory management skills those positions demanded. The gap between ambition and expertise was holding them back from the next step.
Challenge: Egypt's wheat-to-bread supply chain is one of the most complex in the world — involving government subsidies, international wheat imports, multiple processing stages, and a vast distribution network feeding millions. A major player in this chain needed to understand where value was created and lost, which bottlenecks drove the highest costs, and how policy changes would ripple through the system. Traditional analysis was insufficient for a system this interconnected.
Challenge: A building materials retailer with 6 employees had been managing purchasing decisions entirely by experience — with no demand forecasting process and no inventory control models in place. Stockouts of fast-moving products and excess stock of slow-moving items were eroding margins and tying up working capital. Management needed both the knowledge and the practical tools to shift to data-driven inventory management. The engagement required a combined approach: structured training to build capacity, and hands-on consultation to build and implement models directly on the company's own data.
Challenge: A logistics operator flying blind on performance—running processing centers and delivery fleets with no dashboard, no KPI tracking, and no way to tell which customers were profitable and which were quietly draining margins. On-time delivery was a hope, not a measured metric, and problems surfaced only after they had already escalated.
Challenge: A fleet operator who didn't know their true cost per kilometer—running trucks across routes without ever breaking down what fixed and variable costs actually added up to. Pricing was set by market rates rather than actual costs, meaning some routes were subsidizing losses on others without anyone knowing it.
Challenge: A manufacturer who learned the hard way that choosing suppliers by price alone was costing them quality, delivery reliability, and ultimately more money than they were saving. With no formal evaluation process, every sourcing decision was a roll of the dice—low bids won contracts, but late deliveries and quality rejects erased the savings.
Challenge: Organizations across industries needing structured supply chain consulting methodology — covering assessment frameworks, training delivery, and actionable improvement roadmaps tailored to their operational context.
Challenge: A retailer sitting on a goldmine of over 125MB of historical transaction data—years of sales records collecting digital dust with no way to turn them into actionable insights. Without forecasting or analytical capabilities, every inventory decision was a guess, and demand planning was driven by gut feeling rather than evidence.
Challenge: A food distributor drowning in purchase data with no clear picture of where the money was going—thousands of SKUs sourced from dozens of suppliers, yet procurement decisions were made item by item without ever seeing the spending patterns, consolidation opportunities, or cost outliers hidden in the data.
Challenge: A leading FMCG retail chain in Saudi Arabia operating across 7 warehouses and dozens of branches was losing revenue to chronic stockouts while simultaneously overstocking slow-moving items. With 5 years of fragmented sales data spanning thousands of SKUs, the team relied on spreadsheets and intuition for replenishment decisions. There was no central demand forecasting system, no S&OP process in place, and no visibility into branch-level demand patterns. Executive leadership recognized the need for a transformation: from gut-feel ordering to AI-powered, data-driven supply chain management.
Our proven methodologies and data-driven approach can help transform your supply chain operations.
Start Your TransformationPartner with industry experts to optimize your logistics, reduce costs, and drive innovation through advanced supply chain management.
Start Your Transformation