Inventory waste, inconsistent customer service, and demand forecasting errors cost retailers margin. We build AI to eliminate the guesswork.

SanLuis AI Solutions is a Houston-based, AI-augmented team that builds automation and AI systems for small and mid-size retailers. We reduce inventory waste, inconsistent customer service, and demand forecasting errors through fixed-price AI automation.
Retail runs on inventory turns and customer experience. But most retailers still use spreadsheets for demand planning, manual processes for customer follow-up, and intuition for pricing decisions. The result is predictable: shelves sit empty on high-demand days while slow-moving SKUs tie up cash in back rooms. Customer service quality swings based on who answers the phone. Pricing becomes a reactive race to the bottom. These are not people problems. They are systems problems, and AI fixes them at the source.
Inventory waste and stockouts are two sides of the same broken forecast. When demand planning relies on last year's numbers and gut feel, stores over-order to avoid missing sales and end up discounting excess stock. E-commerce channels compound the issue by promising inventory that the warehouse cannot actually fulfill. We build demand forecasting engines that read POS transactions, web traffic, seasonality, and local events to predict requirements four weeks out with measurable accuracy.
Inconsistent customer service erodes the loyalty that retailers work hardest to earn. A new hire gives one answer, a veteran gives another, and after-hours inquiries sit unanswered until the next shift. Manual demand planning forces managers to spend Monday mornings reconciling spreadsheets instead of serving customers. Pricing guesswork leaves margin on the table because nobody has time to monitor competitor moves and elasticity across hundreds of SKUs. Customer follow-up gaps quietly kill repeat revenue: abandoned carts, unreturned repair calls, and lapsed loyalty members go unaddressed because the team is already underwater.
Everyone has access to the same AI. We build the one system that saves your retail operation a day a week. Our retail solutions integrate with the tools you already use: POS, e-commerce, inventory, and email platforms. So you see results without a platform migration or a six-month implementation.
Based in Houston, Texas, SanLuis AI Solutions is an AI-augmented team that builds custom AI systems for retailers. A demand forecasting engine plugs into your POS and predicts stock requirements four weeks out. Customer service automation resolves 80% of inquiries without human escalation. Dynamic pricing adjusts margins in real time against demand, competitor data, and inventory position. Lead follow-up automation captures abandoned carts, repair inquiries, and loyalty lapses and drives them back to purchase.
See how we built a complete customer service automation and pricing guidance system for Susie's Jewelry Repair, a retail business that needed AI-powered customer communication, quoting support, and operational workflow automation.
Not sure if AI makes sense for your retail business? Start with a $300 Discovery Session. We will map your current operations, identify the highest-impact automation opportunity, and give you a written roadmap whether you hire us or not.
Ongoing automation starts at $1,200 per month. Custom forecasting, pricing, and multi-location systems start at $5,000. Every engagement is scoped to the operational hours it returns, not to buzzword features. You know exactly what you are buying, what it connects to, and what it is expected to save before we write any code.
SanLuis AI Solutions has delivered 60% faster quoting for Garza International, 3x inbound leads for Susie's Jewelry Repair, and AI-assisted app design for LoveFlow.
How we built a complete AI-powered customer service and workflow automation system for a retail jewelry business. The project demonstrated demand-aware scheduling, customer communication automation, pricing guidance, and operational workflow improvements that saved hours every week.
Read case study →Start with a $300 Discovery Session. 60 minutes. Clear roadmap.