Chef checking produce deliveries against an order on a tablet in a restaurant kitchen
All case studies

Procurement and inventory automation

Kitchen ordering across 22 restaurants without the 6am phone calls

Twenty-two kitchens ordered from forty suppliers by phone, text and supplier apps, with chefs guessing quantities from memory. Food cost varied five points between sites. We built an ordering workflow that proposes each day’s order from sales forecasts and stock counts, sends it to the right supplier in their format, and reconciles deliveries and invoices automatically.

Client
Casual dining restaurant group
Region
United States
Scale
22 locations, 1,400 employees
Timeline
8 weeks, four pilot sites then rollout

Representative engagement. Client details are anonymised and figures reflect typical outcomes from comparable deployments.

What the client got

0.0 pts

Reduction in food cost percentage

Across the group, driven by forecast ordering and caught variances.

0 min

Chef time saved per day per site

Ordering is a two-minute approval instead of an hour of calls.

0%

Invoices matched automatically

The rest are exceptions with the discrepancy already identified.

The bottlenecks

  1. Bottleneck 1

    Ordering was a chef’s morning

    Head chefs spent the first hour of every day calling and texting suppliers. Orders were based on what looked low in the walk-in.

  2. Bottleneck 2

    Invoices did not match deliveries

    Short deliveries, substitutions and price changes were discovered weeks later in accounts payable, if at all.

  3. Bottleneck 3

    Food cost was a monthly surprise

    With no link between sales, orders and stock, food cost percentages appeared at month end and nobody could explain the variance.

What we built

  1. Step 1

    Forecast-driven order proposals

    Each site’s POS sales, reservations, weather and local events feed a demand forecast. Combined with par levels and last stock count, the workflow proposes the day’s order per supplier for the chef to adjust and approve on a phone.

  2. Step 2

    Supplier-format dispatch

    Approved orders go out in whatever each supplier accepts: EDI, portal, email or a formatted text message. Confirmations are read back and discrepancies flagged.

  3. Step 3

    Delivery and invoice matching

    Delivery notes are photographed and read by an LLM, matched against the order, and the invoice is matched against both. Shorts, substitutions and price variances are raised with the supplier automatically.

  4. Step 4

    Food cost in real time

    Managers see theoretical versus actual food cost by site and category daily, with the top variances explained.

The automation workflow

Forecast to reconciled invoice

Daily ordering cycle per site

01

Demand Forecast

POS, bookings, weather

02

Order Proposed

Par levels, stock

03

Chef Approves

On phone

04

Supplier Dispatch

EDI, portal, email

05

Delivery Matched

Note read by AI

06

Invoice Reconciled

Variances raised

Step 1 of 6
6 steps · Fully automated
Stackn8nOpenAIToast POSMarketManQuickBooksTwilio

Questions clients ask about this engagement

Can chefs override the proposed order?

Always. The proposal is a starting point. Overrides are tracked so the forecast learns from them.

What about suppliers with no digital ordering?

They receive a formatted text or email and reply to confirm. The workflow reads the reply. Two suppliers still take phone orders, which the site logs manually.

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