Stop using Excel: custom CRM to automate shops & small businesses

An estimated 20 million shops and small businesses worldwide still run sales, inventory, and customer lists in Excel or Google Sheets, which creates routine errors, time-consuming manual reconciliation, and poor visibility into pipeline and margins. These users are typically owner-operators and local managers who lack the time or technical appetite to rip-and-replace spreadsheets but desperately need repeatable sales processes, reliable reporting, and basic automation. You could build a spreadsheet-first custom CRM that automates the migration and ongoing sync of Excel workflows using NLP and table-parsing models to map columns, infer relationships, and generate domain-specific templates for retail, services, and light manufacturing. The product would combine a low-code rule engine to automate follow-ups and inventory triggers, native connectors to POS and payments, and optional implementation services that let you target a $2,000 average contract value toward a $40.0B addressable market; the opportunity scores 92/100 for market and 86/100 for revenue potential given current SMB digitization trends. This idea can stand out by making migration frictionless (preserving formulas and logic where possible), offering vertical starter packs, and monetizing through modular add-ons and integration bundles while keeping onboarding light for non-technical users. Real challenges are medium competition from incumbents and niche vendors, the high cost of reliable connector and migration engineering, and the need to prove ROI quickly for cash-strapped SMBs; if you can deliver demonstrable time savings and error reduction in the first 30–90 days, the unit economics and adoption hurdles can be overcome.