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Improving Cash Flow Through Automation
& Inventory Planning

Sales were good, but the business was always short of cash before big inventory purchases, because forecasting was manual and the books ran late. An automated 13-week cash forecast, built on connected sales, accounting and bank data, helped avoid about $40K in lost peak-season sales and freed $75K from dead inventory within 90 days.

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Improving Cash Flow Through Automation & Inventory Planning

Problem/ Challenge

Always cash-strapped before big inventory purchases, despite good sales.

Pain Point:

  • Manual forecasting = overstocking or understocking
  • Bookkeeping delays made financial planning reactive.
Success Story

Solutions

  • Automated 13-Week Rolling Forecasts: Implemented dynamic cash flow models that updated weekly using real-time data.
  • System Integration: Connected Shopify, QuickBooks, and bank feeds via Synder and Make for seamless data flow.
  • Power BI Dashboard: Created a live reporting dashboard showing sales, vendor payables, and upcoming liabilities.
  • Cash Reserve Policy: Introduced a buffer rule—20% of net cash reserved for quarterly taxes and vendor prepayments.
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Results

Automated forecasting and connected data freed up cash, avoided lost sales and cut month-end close time by 60%

Full Visibility into Future Cash Position

By automating a 13-week rolling cash flow forecast and integrating it with real-time sales, expense, and bank data, the business achieved full transparency over its current and future financial standing. This allowed decision-makers to proactively plan for large inventory purchases, manage shortfalls well in advance, and avoid surprises. Previously, manual cash flow tracking led to last-minute scrambles; now, financial moves were backed by data-driven insights. The visibility empowered the management to allocate funds confidently and maintain healthier liquidity.

$40K in Lost Sales Avoided During Peak Season

Before the intervention, the client frequently understocked products due to poor planning, causing missed sales opportunities during high-demand periods. With the new forecasting models and inventory visibility, the business could better anticipate upcoming spikes and place purchase orders accordingly. This proactive inventory planning ensured sufficient stock levels during the busiest time of the year, allowing them to fulfill customer demand and avoid potential losses. As a result, they recovered approximately $40,000 in what would have been lost revenue.

$75K Reduction in Dead Inventory in 90 Days

The automation process did not just address understocking—it also solved the overstocking problem. Prior to improvements, the company often tied up working capital in slow-moving or obsolete inventory due to lack of SKU-level planning. After implementing tighter SKU controls and integrating sales trends into purchasing logic, excess and unsellable inventory was reduced significantly. Over just three months, they were able to liquidate and avoid purchasing inventory that was not moving, freeing up $75,000 in cash that could be better used elsewhere in the business.

60% Reduction in Finance Team’s Month-End Close Time

Manual processes and fragmented data previously forced the finance team to spend considerable time reconciling numbers and verifying transactions each month. The integration of platforms like Shopify, QuickBooks, and bank feeds into one centralized dashboard streamlined this process. Data was synchronized automatically, reports were generated in real-time, and human error was minimized. As a result, month-end financial closing, which used to take days of manual effort, was completed in a fraction of the time—cutting close time by more than half and allowing the team to focus on value-added financial strategy.

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