ShopWorks: Forecasting → Demand → Scheduling in enterprise retail WFM

ShopWorks integrated SolvedBy.AI engines to deliver an end-to-end “forecast → demand → schedule” workflow inside its WFM platform, improving commercial competitiveness and driving measurable customer outcomes at scale.

At a glance

Partner: ShopWorks (WFM SaaS)
Best for SaaS vendors in: Workforce Management (Retail-first)
Engines embedded: Forecasting.ai, Demand.ai, Scheduling.ai
Integration pattern: Single-step scheduling (propose + allocate in one pass)
Time to market: ~5 months
Rollout scale: >1,000 stores in year one
Measured impact: Tender win-rate 12% → 25%; +1.7% revenue for customers at like-for-like staff cost

The product challenge

In enterprise WFM buying cycles, AI-backed capabilities (forecasting, labour demand planning, and scheduling) are increasingly table-stakes. ShopWorks needed a credible AI suite that:

performed well enough to stand up in competitive tenders,
integrated cleanly into their existing workflow and UX,
and produced outcomes that retail operators care about (sales, coverage, labour efficiency).

The engine-powered solution

ShopWorks embedded the following SolvedBy.AI engines as partner-ready modules:

Forecasting.ai
Generates multivariate forecasts per store/rota using signals such as historic sales, promotions, weather, holidays and footfall.
Demand.ai
Translates forecasts into staffing demand by role and time interval (so staffing follows the shape of trading).
Scheduling.ai
Produces compliant, preference-aware schedules that meet demand within labour rules and constraints.

Partner positioning : these capabilities are delivered as engines that partners can embed via API, and can be packaged inside your product under your own module names and commercial model.

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Implementation & productisation notes

Single-step scheduling reduced friction: schedules were generated and allocated in one run, aligning with ShopWorks’ preferred workflow.
“Plan my estate” capability supported allocation across departments/stores (including split shifts).
Adoption improved when the feature was framed as “Schedule Assist” (manager-in-control) and supported with analytics that explain why staffing changes when forecasts change.

Outcomes

Tender win-rate improved from 12% to 25% after launching the AI suite.
Rolled out across 1,000+ stores in the first year.
Partner-reported customer outcome: +1.7% revenue with like-for-like staffing cost.
Qualitative: frontline sentiment was strong; many teams preferred the AI-generated rotas versus manual scheduling.

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Partner playbook (what to copy)

Bundle > bolt-on: forecasting + demand + scheduling sells better than isolated AI features.
Name it like an assistant: it reduces resistance and improves adoption.
Explain the “why”: connect forecast deltas → staffing deltas → outcome KPIs.
Ship fast with engines: partners keep customer ownership and pricing while embedding the AI layer.

Partner context

ShopWorks is a multi-site workforce management platform used heavily in enterprise retail. Their product suite spans scheduling, time & attendance, labour forecasting, absence management, and analytics. Their buyers are typically Operations and Retail Directors who expect measurable operational ROI, not just an improved scheduling UI.

Quote

“AI capability has become non‑negotiable in WFM tenders. Prospects want measurable ROI — better coverage, happier teams, and improved trading performance. Embedding SolvedBy.AI engines helped us compete and win against much larger vendors.”

— Commercial leadership, ShopWorks

Ready to explore a partnership with SolvedBy.Ai?

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TL;DR

ShopWorks embedded Forecasting.ai + Demand.ai + Scheduling.ai, scaled to 1,000+ stores, and improved tender win-rate 12% → 25% while delivering +1.7% revenue at like-for-like staffing cost.

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