Allofresh Dashboard 2.0

BO-1Weekly Performance Lines Values

BO-2Daily Performance Lines

BO-3aDepartment Performance· company · MD Team master table · click a dept to drill Dept → GF → Family

Loading department master table…

BO-3bDepartment By Date

BO-4Funnel by Date

BO-5Funnel by Store— each cell: DAU / DTU · CTR · green at/above the store's own avg, light yellow below (last 14 days) · sorted by DAU

BO-6Detention by DateActive SKUs · availability % · stores × dates

BO-7Department Detentionclick Dept / GF / Family / Brand to expand ▸ Flag avail < %Isolate problems

BO-8Store Performance Overview MTD Margin

BO-9Unique SKUs Sold by Month excludes ED- · DFT- · KS- · from Jan 2026 · distinct SKUs sold anywhere · JSON precompute

Scroll down to load monthly SKU data…

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SKU	Name	Attribute	GF	Buyer	GMV	% H&W GMV	Units	Det D	Det MTD	GM%	NM%	ONYR	Confirmed	Last Rec	LRQ	Worst Det Trend Stores
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WORDSThe 8 words this tab uses

SLOC — exact shelf address (L2-TR3-2-1)

Floor — L1 ground · L2/L3 upstairs (Lantai)

Category — D Dry (incl WR·P·SR) · A AC room (TR=AC) · C Chiller · F Frozen

Order size — No of SKU in the order (tier rule below)

Service level — paid → packing finished, judged on SECONDS: 5:00.00 = on time, 5:00.01 = LATE (S 5 · M 10 · C 20 min · instant only)

Composition — what the order's items are, e.g. 2D+1F

Visit — one pick line at a sloc (same sloc can repeat per order)

Forcing SKU — the ONE product that made the picker leave L1

Store Order ID Order Type Order ID + Order Type + period apply to SL-1 · SL-2 · SL-9 · defaults App + Instant — SHP is marketplace flow and Scheduled waits for its slot; both distort the 5-min read when mixed in · other cards = full period, all orders

SL-1Order Route Matrix — click a row for SKU composition Tier rule: S ≤ SKU · M ≤ SKU · C = above SLA min: S · M · C · applies to Instant · Scheduled judged vs slot

Gives: one row per No of SKU in the order; columns = the floors the picker had to visit. Cell = service level % + orders. Purple rows = tier totals. Click a numbered row to see WHAT those orders were made of (composition legend: D Dry · A AC · C Chiller · F Frozen — "2D+1F" = 2 dry + 1 frozen item).

SL-1BStore Comparison — routes × service level follows Order ID · Order Type · period · always ALL stores · sorted worst first

Gives: every store on one screen for the selected tier. Cell = service level, then the real split: green = orders packed within target · red = orders over. The biggest red number in a row is that store’s broken route. % L1 only = share of orders picked entirely on the ground floor.

SL-2Order Composition Matrix — what's inside, by asset category columns overlap: an order with dry + frozen counts in both

Gives: same rows; columns = category IN the order (Dry · AC Room · Chiller/Fresh · Frozen). Cell = service level of orders containing it · orders · SKU lines + share of that row's picked lines.

SL-3Floor Drift — store × week, % picks OFF L1

Gives: is slotting improving or rotting per store; a re-slot that stuck shows as a falling row. All orders (instant + scheduled).

SL-4Most Visited SLOCs

Gives: shelves ranked by picker traffic for the selected store. Click a SLOC to see the SKUs parked in it — a busy shelf holding SLOW movers is wasted prime space. CSV = full list incl. SKU detail.

SL-5Trip Clock — hour × floor

Gives: WHEN upstairs trips happen. Overnight 0–6 hidden by default (hour 0 carries a source data artifact).

SL-6Rack Pareto

Gives: most-visited racks. Orange bar = busy rack NOT on L1. Gold count = picks from a Reserve/overflow sloc (refill ran late).

SL-7What-If Mover — trip-forcing SKUs

Gives: products that ALONE dragged the picker off L1, ranked. The table under it shows what moving the top 5 / 10 / 20 down would do to the share of Simple orders that stay single-floor.

SL-8L1 Slot Snapshot — observed from picks

Gives: racks seen in the pick data by floor and type (top-40 traffic scope) — the working envelope for swaps. Physical capacity still lives in the ops Assets sheet.

SL-9Order Timelines — who, when, how late

Gives: the actual orders behind the cells — order ID, when it was paid, route, duration, how far over target, and the picker. Minutes are floored whole minutes; pass/fail is judged on seconds (an order shown at 5.0 min can be a 5:00.01 miss). Follows the store, channel and period selected above.

SL-10Store SLOC Heatmap — picked SKUs per shelf darker = more · #1–#10 = busiest shelves (gold = top 3) · orange ring = hot shelf NOT on L1 · gold ring = Reserve picked · hover for detail

Gives: the whole store at one glance — every SLOC is a tile inside its rack, racks grouped by floor. Healthy = dark tiles hugging L1, pale upstairs. Tiles are ordered by shelf code inside each rack (not physical walk positions).

P-10Hook SKUs acquisition pricing · price-down episodes · all complete weeks since Jan · knobs AND together loads on tab open…

Month-over-month — GMV by customer type stacked New / Existing · GMV + unique users · GM/NM lines

Daily — this month vs last month GMV bars · GM/NM lines · PD/TT/Reg · orders / MTU / anomalies

Performance table Presentation Fit ⬇ Download PNG click rows to expand · drag column edges to resize · Det / NewSKU columns refine in Section 5

GMV bridge — W-1 vs like-week

GM (Rp) bridge — W-1 vs like-week

Auto notes level: FamilyGroup family sort: GMV ↓GMV ↑Movement vs: vs LFLvs LWvs MTD Top 70% Expand all Copy allGenerate Deck

3C · Store GMV heatmap last 8 weeks · top 20 stores · Δ vs like-week

3D · Top-50% GMV contributors SKUs cumulating to 50% of MTD GMV · GM% / NM% / competitiveness index

3A · New-SKU distribution by store first sold since last month · qty heat · received gate from detention

3E · SKU Opportunity Map X = Units (MTD) · Y = Avail% · bubble = GMV · color = Family · <90% = action

3E · Availability by Store — MTD pooled avail% across SKU set · click a cell for the SKU list

Isolate problems low-availability SKUs split by DC stock vs run-rate need

New Listing Performance

4A · Supply service level — last 2 weeks PO Trade Detail · your SKU scope · vs prior 2 weeks

4B · Service level by supplier — worst first last 2 weeks · bad <60% qty rate · grouped by dept

4C · Missed SKUs — last 14 days rolling PO window · per-PO hover · sorted by worst fill · CSV

Sales by GMV type — W-1 ed-→NED · DFT→defective · else sku_pricing_remark · share of W-1 GMV + Δ vs like-week

Pricing Type Performance MTD · by sku_pricing_remark · your scope

Margin Waterfall — buyer level FROM/TO range (as Pricing Remark Analysis) · drop loss-makers + Rafraksi → best potential

GMV by Competitor price-scrape · GMV by lowest-priced competitor · your scope

Price battle — win rate + margin cost our nsp vs each competitor · cheaper/match/pricier + GM medians per bucket

SKU Checker Weekly L12W + Daily D60 · live DuckDB per-SKU · rolling (Today − last 60 days)

— L12W GM · NMGMʳ · NMʳ

— L60D by day bars=GMV · green line=qty · purple=ASP · markers=lowest competitor · black=availability%

Month on Month sold ▲ (GMV) · purchased ▼ (GR value) · from January GM · NMGMʳ · NMʳ

Availability by Competitor ● ≥1 competitor priced it · ○ none · last 12 scans · this selection only 12 scans16 scans24 scans

Basket pricing edit qty · purchase & PSP incl VAT · GM% ex-VAT · not-recently-sold SKUs use last-known / competitor price

By-Store · sales qty / stock / DC L60D collapse to L30D · +GR / miss markers

Detention by Time-Slot · 8AM / 1PM / 6PM L60D collapse to L30D · stock units across stores + DC + GR/Miss on that date

Stock cover + Purchase Orders days-of-cover at W-1 run-rate · last PO lines, fill rate

By-Date Ledger L60D collapse to L30D · GMV · Qty · GM% · ASP · P-idx · Avail% · Stores@0 · Events

Availability — daily (D60) green=in-stock store-slots · red tick=zero-stock day

Store Heat Map GMV + Quantity side by side · stores × week (L12W)

Stock Purchase History — last 3 months where bought · vendor type · price

Auto-read

Brand SKUs top 15 by W-1 GMV · click to drill

Rafaksi supplier weight/quality-loss compensation · pulled live from FSR — same rule as the Rafraksi Calculation sheet

How rafaksi is calculated the rule ▸

Rafaksi by Department global — click a department to filter the SKU table below

Rafaksi by SKU — select filters above

▸ Rafaksi by SKU × Date daily · click to open ⤓ CSV

▸ Rafaksi by SKU × Date × Store daily × store · click to open ⤓ CSV

Supplier Performance

SP-1Delivery Performance due cohort, today & future excluded · rate = received ÷ ordered on the SAME POs (received any date) · Rp = PO/GR amount

SP-2Supplier Performance Table due cohort per period · Arr = cohort POs received · rates ≥95 green · 85–95 amber · <85 red By Department By HOD → Buyer ⤓ CSV

SP-3Follow-up Heatmap POs due per supplier per day · click a name → history · click a cell → that day's POs, SKU by SKU · uses the SP-2 supplier / brand-SKU / type filters Closed POs ✓ ‹ older 14d today next 14d ›

SP-4Critical Replenishment Risk SKUs out of stock in-store · no DC cover · last order is a slipping re-upload · ⤓ CSV

F&V Suppliers

FVS-1Orders & Service Summary periods anchored on confirmed date (→requested→PO-date fallback) · received = actual ≤ D-1 cutoff

Planning split classifiable POs only · Fair SL = Regular-only = the supplier's fair grade

FVS-2Service Level Master Summary GF ▸ Family · POs expected in period (confirmed-date anchor) Total Regular Additional ⛶ Presentation ⬇ PNG ⤓ CSV

Supplier × Group Family sent by PO date · received by actual date · rep. columns = fixed last-3-months Daily D-1 CW LW L4W MTD LM ⤓ CSV

Order mix trend qty by PR date · Regular vs Additional CW LW MTD LM

Purchase price — multi-vendor comparison same SKU, same period · rate = GR amount ÷ GR qty (ex-VAT) · live from PO parquets

Repeatedly undelivered zero GR in the last 2/3/4+ consecutive POs · fixed L3M

Inconsistent SKUs missed ≥30% of ≥6 POs · fixed L3M

Suppliers with poor service level worst qty rate first · selected slice · min 50 lines

Frequently poor fulfillment — cause-tagged fill <80% of ≥3 POs · L3M · Additional-miss = planning, Regular-miss = supplier (at threshold 1)

Purchase Price Trends

Market-rescue economics wholesale premium vs nearest-in-time base rate · charts show the full window

Rescue leaderboard — Premium Avoidable Chronic WS-only ⤓ CSV

★ Price Explorer drill Dept ▸ Group Family ▸ Family ▸ SKU · weekly purchase rate · full window · live Purchase price (Rp) Indexed (100)

★ Compare specific SKUs paste IDs, search, or add a brand — up to 10 · weekly rates · follows the Explorer Rp/Indexed toggle

① SKU × Vendor — negotiation view Fresh trailing ~2 wks · FMCG trailing ~3 mo · live Exclude wholesale

② Portfolio overview cost movement breadth · Fresh = F&V / Butchery / Fishery / Perishables · monthly

Department × Month — cost-change heatmap MoM % of qty-weighted purchase rate · red = up, green = down

Cost inflation qty-weighted purchase rate Rp Indexed (100)

Price-change alerts base-vendor rates only Increases Decreases ⤓ CSV

Unclassified vendors blank business type — F&V market is by design

Buying at / above selling price last purchase rate vs last selling ex-VAT (sku_price)

New Listing Performance

HSNS by store ⤓ store CSV⤓ SKU list (all)

Suggested transfers · dead stock → selling stores ⤓ CSV

Newly Listed

Historic month by month · current month open · older months load only when you click (lazy) · 2025 archive fetches on demand

Customer — Retention & Stickiness

Performance table click rows to expand · drag column edges to resize · Det / NewSKU columns refine in Section 5

Auto notes level: sort: vs:

Availability by Competitor ● ≥1 competitor priced it · ○ none · last 12 scans · this selection only

By-Store · sales qty / stock / DC L60D · +GR / miss markers

Detention by Time-Slot · 8AM / 1PM / 6PM L60D · stock units across stores + DC + GR/Miss on that date

By-Date Ledger L60D · GMV · Qty · GM% · ASP · P-idx · Avail% · Stores@0 · Events

▸ Rafaksi by SKU × Date daily · click to open

▸ Rafaksi by SKU × Date × Store daily × store · click to open

SP-2Supplier Performance Table due cohort per period · Arr = cohort POs received · rates ≥95 green · 85–95 amber · <85 red

SP-3Follow-up Heatmap POs due per supplier per day · click a name → history · click a cell → that day's POs, SKU by SKU · uses the SP-2 supplier / brand-SKU / type filters

SP-4Critical Replenishment Risk SKUs out of stock in-store · no DC cover · last order is a slipping re-upload ·

FVS-2Service Level Master Summary GF ▸ Family · POs expected in period (confirmed-date anchor)

Supplier × Group Family sent by PO date · received by actual date · rep. columns = fixed last-3-months

Order mix trend qty by PR date · Regular vs Additional

Rescue leaderboard —

★ Price Explorer drill Dept ▸ Group Family ▸ Family ▸ SKU · weekly purchase rate · full window · live

Cost inflation qty-weighted purchase rate

Price-change alerts base-vendor rates only

HSNS by store

Suggested transfers · dead stock → selling stores