InStock, Multi-Location, and Dynamic Pricing

InStock solves a specific problem: what happens when a product goes out of stock before the next shipment arrives?

Without InStock: the product shows "out of stock" on the Shopify storefront. Customers leave. Some come back; most don't. You lose the sale and potentially the customer.

With InStock: the product remains purchasable. Instead of showing "out of stock," it shows an ETA based on the next inbound PO. Customers can buy now and receive when stock arrives. Demand is captured, not lost.

This requires tight integration between Tightly's PO data and the Shopify storefront. When a PO's delivery date changes (supplier is late), InStock updates the ETA shown to customers automatically.

Product implication: InStock creates a promise to the customer. If the ETA is wrong because PO data is inaccurate, customer trust is damaged. Data quality in the PO system is a prerequisite for InStock being valuable.

Brands that sell across multiple channels or operate multiple warehouses face a distribution problem: too much stock in one location, not enough in another, while a stockout is brewing at a third.

Tightly's multi-location module generates SKU-level recommendations across every warehouse or store location, including transfer recommendations — move X units from Location A to Location B before they're needed.

Transfer recommendations are harder than replenishment recommendations because:
- They require accurate real-time stock by location (not just total inventory)
- They need to account for transfer lead time (how long does a cross-warehouse move take?)
- They create operational work (pick, pack, ship internally) that replenishment doesn't

For a brand running Shopify + 3 3PLs in different regions, multi-location planning can significantly reduce overall safety stock requirements — because stock in one location can cover for temporary shortfalls in another.

Tightly's dynamic pricing module continuously scans competitors, third-party retailers, and marketplaces to track where a brand's pricing stands in real time.

Why this connects to inventory planning: pricing and inventory are linked decisions. If you're overstocked, lowering price accelerates sell-through. If you're nearly stocked out, maintaining or raising price protects margin. A brand that sees both their inventory position (from Tightly) and their competitive pricing position (from the dynamic pricing module) in one place can make better-connected decisions.

As PM, this is an example of platform adjacency — Tightly started with inventory planning and expanded into adjacent decisions that share the same data. The question is always: where does the core data create leverage in neighboring workflows? Pricing is a natural answer because it directly affects sales velocity, which feeds back into the forecast.