Case Studies

Real partner outcomes. Repeatable product patterns.

Explore how SaaS vendors embed SolvedBy.AI engines — Forecasting, Demand Planning, Scheduling and more — to deliver measurable ROI for customers and accelerate product roadmaps.

FAQ

By predicting demand more accurately and linking it directly to staffing rules, AI forecasting shows where staff levels are too high or too low. Schedules can then be adjusted to avoid costly idle time and damaging understaffed shifts.

Yes. Having enough staff available during busy periods increases conversion rates and basket size, particularly in retail and hospitality. Better coverage of peak times means fewer missed sales and improved service.

Consistent product availability and adequate staffing lead to shorter queues, faster service and fewer “out of stock” disappointments. This typically improves customer satisfaction scores and repeat business.

This flags items with stock levels above target cover, or stock held beyond an age threshold. Inputs often include on-hand stock, target days of cover, shelf-life/age bands and demand forecast. It supports actions like reducing orders, promoting stock, or transferring between locations.

This measures the percentage of demand met without stockout (or the % time in-stock). Partners typically show achieved vs target service level and trends by category/site. Inputs include demand/consumption and stock availability events (and backorders, if applicable).

This measures adoption of the ordering recommendations. It compares suggested order quantities to final submitted quantities (and optional override reasons). Partners often track % accepted unchanged, % modified, and average adjustment size to identify trust and training gaps.

Waste risk indicates the likelihood that ordered stock will exceed what can be sold/used before expiry or spoilage. Inputs commonly include forecast, on-hand, shelf-life/hold time, spoilage curve and batch size constraints. It is the counter-balance to stockout risk for perishable categories.

That’s possible, but the agreed AI uplift still needs to be funded.

Using the same example:

- Customer pays $X only
- AI uplift is still agreed as $Y per employee/month
- SBAI still receives $Y/2 per employee/month
- In this case, the SaaS vendor funds that amount (it becomes a COGS/strategic subsidy for winning or retaining customers)

This protects the partnership economics while giving you flexibility in how you go to market.

We do not offer broad exclusivity by default. In special cases we may agree category, segment or regional exclusivity when there is a significant joint investment or strategic alignment. Any exclusivity would be clearly defined and time‑bound in the commercial agreement.

No. You own the customer relationship and contracts. We operate as your embedded AI engine behind the scenes. Co‑branding (“Powered by SolvedBy.AI”) is optional and can be decided case‑by‑case. Solved By Ai does do some deals direct with customers, normally when they want to integrate our Ai tools into a SAAS product provided by a vendor we don’t have a relationship with.

Suggested prompt:
“Given our pricing metric (per employee/site/etc.), propose a minimum AI uplift ($Y), and generate three revenue scenarios including partner margin impact and SBAI share.”

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